To verify this, we conduct error analysis of the well known <cite>DeepED 1</cite> model <cite>(Ganea and Hofmann 2017)</cite> on the development set of AIDA-CoNLL (Hoffart et al. 2011) , and found that more than half of <cite>their</cite> error cases fall into the category of type errors where the predicted entity's type is different from the golden entity's type, although some predictive contextual cue for them can be found in <cite>their</cite> local context. As shown in Fig. 1 , the full model of <cite>Ganea and Hofmann (2017)</cite> incorrectly links the mention "Milwaukee" to the entity MILWAUKEE BREWERS.