Here, we use a simple method based on an entity dictionary that maps an entity name (e.g., "Washington") to a set of possible referent entities (e.g., Washington, D.C. and George Washington).
we first take all words and phrases in a document, treat them as entity names if they exist in the dictionary, and detect all possible referent entities for each detected entity name.