12. A computer-readable medium having computer executable instructions, which when executed perform steps, comprising: disambiguating person data located from one or more text snippets, including: receiving the text snippets from a search engine in response to a query comprising a person name, the snippets including the person name; for each snippet extracting therefrom entity names of entities related to the person name, computing weights of the names of the entities according to their respective text distances in the snippet from the person name in the snippet, and constructing a person feature vector comprised of features that correspond to the names of the entities and each feature having the computed weight of its corresponding entity name; calculating similarity measures between the person feature vectors, each similarity measure representing similarity between two different person feature vectors, where for a given first person feature vector and a given second person feature vector, weights of features of the first person feature vector are combined with weights of the same features from the second person feature vector to compute the similarity measure between the first and second person feature vectors; and clustering the person feature vectors into clusters of similar feature vectors based on the similarity measures.
12. A computer-readable medium having computer executable instructions, which when executed perform steps, comprising: disambiguating person data located from one or more text snippets, including: receiving the text snippets from a search engine in response to a query comprising a person name, the snippets including the person name; for each snippet extracting therefrom entity names of entities related to the person name, computing weights of the names of the entities according to their respective text distances in the snippet from the person name in the snippet, and constructing a person feature vector comprised of features that correspond to the names of the entities and each feature having the computed weight of its corresponding entity name; calculating similarity measures between the person feature vectors, each similarity measure representing similarity between two different person feature vectors, where for a given first person feature vector and a given second person feature vector, weights of features of the first person feature vector are combined with weights of the same features from the second person feature vector to compute the similarity measure between the first and second person feature vectors; and clustering the person feature vectors into clusters of similar feature vectors based on the similarity measures. 15. A computer-readable medium according to claim 12 , wherein the disambiguating is performed by a web browser.