1. A computer-implemented method of disambiguating organization names, the method comprising: selecting multiple names of organizations; and using the computer to: extract a first name identified in an electronic content item, wherein multiple different organizations have the first name; for each of the multiple organizations, assemble a corresponding feature vector comprising: a set of name features reflecting use of the first name in the electronic content item; and a set of affiliation features reflecting one or more affiliations of the organization also identified in the electronic content item; execute a model to identify, among the multiple organizations, only one organization to which the electronic content item refers; and make the electronic content item available to a user interested in content items that reference the one organization.
7. The method of claim 1 , further comprising categorizing the multiple names by, for each name: identifying a total number of references to the name among multiple content items received during a threshold period of time, other than the electronic content item; and if the total number of references exceeds a threshold quantity, categorizing the name as famous.