The knowledge provided by the user is used in several different sieves of the algorithm. First name, last name and gender are used in a sieve which already existed prior to this work. It uses first and last names to merge clusters if they are compatible with respect to several other meta data fields (like gender). For this work, it was expanded to also merge clusters which contain mentions that have been identified to belong to the same character from user-specified knowledge. This identification is done in one of the first sieves by comparing the mentions’ texts to a character’s unique name, first name, synonyms and, if no other character has the same last name, last name. Mentions that have been identified to belong to a character this way are from then on prevented from being merged into a cluster together with mentions belonging to other characters as well as mentions which have one of the character’s non-coreferent strings as their text.