1. A computer-implemented method of collaboratively managing an entity-relationship database, comprising: displaying an entity-relationship graph showing a graphical representation of the entity-relationship database to a first user, said graph comprising a plurality of nodes representing entities stored in the entity-relationship database and a plurality of edges representing relations stored in said entity-relationship database; creating a first new relationship in the entity-relationship database in response to an input from said first user, generating an updated version of said entity-relationship graph; displaying the updated entity-relationship graph to a second user; creating a second new relationship using the updated version of the entity-relationship graph in the entity-relationship database in response to an input from said second user; assigning a voting weight to the first or the second relationships relative to another relationship in said entity-relationship database in response to an input from a voting user; collecting data on expert status of the voting user, said expert status indicating whether the voting user is an expert on a given topic; assigning a credibility weight to the voting weight from the voting user based on the expert status of the voting user; disambiguating the first and the second relationship relative to other relationships in the entity-relationship database based on said voting weight and said credibility weight; and storing the first new relationship and the second new relationship in the entity-relationship database and a result from the disambiguating step in memory.