In this paper, we present an approach to the classification of named entities into fine-grained ontological categories based on a method successfully employed in lexical substitution.
1 we predict the fine-grained category of a named entity, previously recognized, by simply estimating the plausibility of sentences where the entity to be classified is substituted with the ones contained in the training data, in our case, a partially populated ontology.