You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Information (KFI) should be meaningful and include important details.

Your goal is to insert a  <|retrieval|> token after it is clear what the intent of the text is (e.g., "The president of the USA is"), but  before the key factual information is stated (e.g., "Joe Biden"). Whenever there is a <|retrieval|> token, we will retrieve the key factual information.

Here is the passage you will be working with:

<passage>
Angus Macfadyen Angus Macfadyen (born 21 September 1963) is a Scottish actor. His roles include Robert the Bruce, both in Braveheart and Robert the Bruce, Vice-Counsel Dupont in Equilibrium, Jeff Denlon in the Saw franchise, Robert Rogers in the AMC historical drama Turn: Washington's Spies, McCreedy in Cameron Crowe's We Bought a Zoo, and biologist James Murray in The Lost City of Z. He has made appearances on several television series such as Californication, Criminal Minds and the final season of Chuck. Early life Macfadyen was born in Glasgow, Scotland and lived a colourful childhood, being brought up in such places as the Philippines, Africa, Singapore and France. His father was a doctor in the World Health Organization. Macfadyen attended the University of Edinburgh and the Central School of Speech and Drama in London. Career 1990s Macfadyen's first role was Philip in the film made for television The Lost Language of Cranes (1991). He portrayed a young man who must tell his parents that he is gay. Playing the role of his father was fellow Scottish actor Brian Cox. Macfadyen then acted in five episodes of Soldier Soldier before appearing in the television film 15: The Life and Death of Philip Knight (1993) and also on the television series Takin' Over the Asylum (1994) about a salesman who runs a radio station in a mental institution. That role led to his role as Robert the Bruce in Mel Gibson's film Braveheart (1995). In 1995 he also portrayed Richard Burton in the TV miniseries Liz: The Elizabeth Taylor Story. After Braveheart won Best Picture at the Academy Awards, Macfadyen acted in the independent film Nevada (1997), before giving the most over-the-top performance of his career in the action/fantasy Warriors of Virtue (1997). He also co-starred alongside Don Cheadle and Ray Liotta when he played Peter Lawford in the HBO film The Rat Pack (1998). Macfadyen played Orson Welles in Tim Robbins's third directorial film Cradle Will Rock (1999). Although the film received a nomination for the Palme d'Or at Cannes, it was a financial flop. Macfadyen next made the Shakespearan film Titus (1999), alongside Anthony Hopkins, where he played Lucius, eldest son of Titus Andronicus. Directed by Julie Taymor, the film was a critical triumph but with mediocre box office results. 2000s After the noir film Second Skin (2000), Macfadyen acted in a number of poorly received films. One such film was the action film Styx (2001) which starred Peter Weller. A year later, he acted in the comedy film Divine Secrets of the Ya-Ya Sisterhood (2002) alongside a number of famous names: Sandra Bullock, Ellen Burstyn, Maggie Smith and Ashley Judd. That same year, Macfadyen took the role of Vice-Counsel Dupont in Equilibrium (also 2002). The film, also starring Christian Bale, Sean Bean, Taye Diggs and Emily Watson, is set in the future, where a fascist regime forbids all emotions. Macfadyen acted as Marcus Crassus in a TV mini-series of Spartacus (2004), and the character of Bill in The Pleasure Drivers (2005). In 2006, he was the lead in the dramatic film The Virgin of Juarez (2006). He then starred in Kevin Connor's mini-series Blackbeard, it co-stars Richard Chamberlain, Jessica Chastain, Mark Umbers, Stacy Keach, David Winters, and Rachel Ward. It's about pirate Blackbeard (Macfadyen) wreaks havoc on the high-seas looking for Captain Kidd's treasure. His dark presence causes controversy in the local port town of New Providence, especially among Gov. Charles Eden (Chamberlain) and his adopted daughter Charlotte (Chastain), who is being wooed by Lt. Robert Maynard (Umbers). His next big role was that of Jeff Denlon in Saw
</passage>

Follow these steps to complete the task:

1. Inserting retrieval tokens:
   a. Read through the text carefully.
   b. Identify potential Prefix-Intent (PI) sections that consist of a single intent and could serve as a search query. You must not modify the prefix intent and it MUST be part verbatim in the passage. It cannot be single or only a few words.
   c. For each identified PI, evaluate if the following sentence/subsentece that could serve as Key Factual Information (KFI).
   d. Insert <|retrieval|> tokens into the text AFTER the Prefix Intent (PI) and BEFORE key factual information is stated (KFI).
   e. Key Factual information should not intersect with Prefix Intent.

2. Identifying Prefix-Intent (PI) and Key Factual Information (KFI):
   a. For each <|retrieval|> token you've inserted, identify the preceding text as the Prefix-Intent (PI).
   b. Identify the following text, up to the next PI, as the Key Factual Information (KFI).
   c. Ensure that both PI and FI are short subsentences or phrases but not 1 or 2 words.

3. Insert <|start-PI|>,<|end-PI|>, <|start-KFI|>, <|end-KFI|>.
   a. For each identified Prefix Intent (PI), add a start and end special tokens (<|start-PI|>,<|end-PI|>) to quickly identify them.
   b. Do the same for the Key Factual Information (KFI) (<|start-KFI|>, <|end-KFI|>)
   c. Ensure that the very first PI in the passage is preceded by <|start-PI|>.
   d. Double-check that every PI and KFI is properly enclosed in these tags.

4. Describing ideal retrieved information:
   a. Given the Prefix-Intent (PI) and Key Factual Information (KFI), imagine an ideal retriever and enormous corpus. 
   b. Using the retriever and corpus, imagine that you can retrieve information given the Prefix-Intent.  
   c. Describe how that content should look like so it helps generating the Key Factual Information (KFI)


5. Reformulate the Prefix Intent if necessary: Reformulate it to not be impersonal. This means that if the subject it is not identified (e.g. it, he, she) you need to add the appropriate subject so the prefix-intent can be understood by itself. The subject should be changed from the previous information in the passage. Reformulated Prefix should not add any extra information or intent that is not mentioned in the original Prefix Intent.


6. Output format:
   For each pair of Prefix-Intent (PI) and Key Factual Information (KFI) you identify, provide the following output separating each example in a JSON list output. Ensure that it is actually a JSON.

   - Prefix_intent: [Write the Prefix Intent here]
   - Prefix_reformulated: [Write the Prefix Intent reformulated]
   - Key_Factual_Information: [Write the Key Factual Information here]
   - Verification: [Confirm that the KFI can be directly derived from the PI given a strictly connected context]
   - Ideal_Knowledge: [Describe how the ideal retrieved content should look to generate the KFI]
   - Explanation: [Briefly explain how the PI and KFI connect and why you chose to insert the <|retrieval|> token in that position]


7. Final step:
   After you have completed the analysis and provided outputs for all identified PI-KFI pairs, present the original passage with the <|retrieval|> tokens inserted in their appropriate positions

Here's an example of the expected output format:

Passage: Girmal Falls General This waterfall extends to a height of up to 100 feet, making it the highest waterfall of Gujarat. The picturesque beauty of this site makes it popular among visitors and people of the region alike. The water swiftly falls from a great height, creating a fog like condition that’s eye catching. The government of this state is working on many projects to make this place an ideal picnic spot and a tourist attraction. The fall comes to its best form at the time of monsoon and provides an immensely striking appearance. Some of the best natural features of Gujarat can be explored in this place. This place is a nice and refreshing retreat for any traveler.

```json
{ "results" : [
  {
    "Prefix_intent": "Girmal Falls General This waterfall extends to a height of up to",
    "Prefix_reformulated": "What is the height of Girmal Falls?",
    "Key_Factual_Information": "100 feet, making it the highest waterfall of Gujarat",
    "Verification": "The KFI directly provides the height information requested in the PI.",
    "Ideal_Knowledge": "A list of waterfalls in Gujarat, India, with their heights and rankings, specifically mentioning Girmal Falls as the highest at 100 feet.",
    "Explanation": "The PI introduces Girmal Falls and sets up a query about its height, while the KFI provides the specific measurement and its significance. The <|retrieval|> token is inserted to indicate where additional information might be needed to support the factual statement."
  },
  {
    "Prefix_intent": "The water swiftly falls from a great height, creating",
    "Prefix_reformulated": "What does the water falling from Girmal Falls create?",
    "Key_Factual_Information": "a fog like condition that's eye catching",
    "Verification": "The KFI directly describes the effect created by the falling water, as prompted by the PI.",
    "Ideal_Knowledge": "Detailed descriptions of the visual effects created by high waterfalls, including the formation of mist or fog-like conditions due to water droplets in the air.",
    "Explanation": "The PI describes the water falling and sets up a query about its effect, while the KFI provides the specific visual phenomenon created. The <|retrieval|> token is inserted to indicate where additional information might be needed to support the description."
  },
  {
    "Prefix_intent": "The fall comes to its best form at the time of",
    "Prefix_reformulated": "When does Girmal Falls come to its best form?",
    "Key_Factual_Information": "monsoon and provides an immensely striking appearance",
    "Verification": "The KFI directly answers when the waterfall is at its best and describes its appearance, as prompted by the PI.",
    "Ideal_Knowledge": "Information on the seasonal variations of Girmal Falls, highlighting the monsoon season's impact on water flow and visual appeal.",
    "Explanation": "The PI sets up a query about the best time to view the falls, and the KFI provides the specific season and describes the appearance. The <|retrieval|> token is inserted to indicate where additional information about seasonal changes might be needed."
  }],
"Updated_Passage":"<|start-PI|> Girmal Falls General This waterfall extends to a height of up to <|end-PI|> <|retrieval|> <|start-KFI|> 100 feet, making it the highest waterfall of Gujarat <|end-KFI|>. The picturesque beauty of this site makes it popular among visitors and people of the region alike. <|start-PI|> The water swiftly falls from a great height, creating <|end-PI|> <|retrieval|> <|start-KFI|> a fog like condition that’s eye catching <|end-KFI|>. The government of this state is working on many projects to make this place an ideal picnic spot and a tourist attraction. <|start-PI|> The fall comes to its best form at the time of <|end-PI|> <|retrieval|> <|start-KFI|> monsoon and provides an immensely striking appearance <|end-KFI|>. Some of the best natural features of Gujarat can be explored in this place. This place is a nice and refreshing retreat for any traveler."
}

```
8. Final check:
  a. Review the Updated_Passage to ensure all PIs and KFIs are properly tagged.
  b. Verify that the first PI in the passage starts with <|start-PI|>.
  c. Make sure there are no missing or misplaced tags.
 
Remember to analyze the entire passage, identify all relevant PI-KFI pairs, and provide the output for each pair as specified. After completing the analysis, present the original passage with the <|retrieval|> tokens inserted in their appropriate positions as part of a new key in the JSON file. Only Ouput the JSON File.