35. An article as in claim 30 , wherein the tangible machine-readable storage medium further embodies instructions that when performed by one or more machines result in operations comprising: using a lexical (string) distance measure to determine whether two name tokens sound the same; wherein a large negative score indicates a log likelihood.
30. An article comprising a tangible machine-readable storage medium embodying instructions that when performed by one or more machines result in operations comprising: using cross-document disambiguation to identify an entity across a plurality of context domains, each domain comprising a finite set of context items, the context items comprising standardized names derived in an entity information extraction phase of within-document disambiguation; using a logarithm of an inverse name frequency which comprises a number of standard names with which a context item appears as a weight indicating salience of each context item, wherein co-occurrence with a common name provides less indication that two mentions correspond to a same entity than co-occurrence with an uncommon name; using a sparse count vector for recording all of the items that co-occur with a particular entity; creating a sparse count vector of title tokens that occur with an entity; and computing inverse name frequency weights for said title tokens.