For name disambiguation in entity linking, there has been much previous work which demonstrates modeling context is an important part of measuring document similarity.
the traditional approach for entity linking treats the context as a bag of words, n-grams, noun phrases or/and co-occurring named entities, and measures context similarity by the comparison of the weighted literal term vectors (Varma et al., 2009;Li et al., 2009;Zhang et al., 2010;Zheng et al., 2010;Dredze et al., 2010).