We treat mentions (or mention clusters) as independent and identically distributed; the complete model is shown in Figure  1.
given a test mention (w , b ), we can compute the entity posterior by marginalizing out the latent variable k: the entity posterior is a product of the name score (p(e|w )) and context score ( k b k p(k|e)/β k ).