  Entity linking is a fundamental task in natural language processing which
deals with the lexical ambiguity in texts. An important component in entity
linking approaches is the mention-to-entity prior probability. Even though
there is a large number of works in entity linking, the existing approaches do
not explicitly consider the time aspect, specifically the temporality of an
entity's prior probability. We posit that this prior probability is temporal in
nature and affects the performance of entity linking systems. In this paper we
systematically study the effect of the prior on the entity linking performance
over the temporal validity of both texts and KBs.
