One issue still remains that characters in this dataset are often mentioned by several aliases (e.g., nicknames, honorifics) such that it is not trivial to cluster mentions implying the same character using simple string matching.
an entity dictionary is created for each character whose key is the name of the character and the value is a list of aliases for the character, manually inspected throughout the entire show.