5. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, obtaining first speech recognition results related to an utterance of a user; processing the first speech recognition results to identify: a first named entity; and a second named entity; determining that the first named entity is associated with the second named entity; performing a search of a data store for the first named entity and the second named entity, wherein the data store comprises a plurality of resolved named entities and information indicating relationships between resolved named entities in the plurality of resolved named entities; determining, from the search of the data store, that the first named entity corresponds to a first resolved named entity and that the second named entity corresponds to a second resolved named entity, wherein the information of the data store indicates that the first resolved named entity is related to the second resolved named entity; determining that a confidence score associated with the first resolved named entity meets or exceeds a threshold confidence score; obtaining second speech recognition results based on the first resolved name entity; and generating a response based at least partly on the second speech recognition results.
5. A computer-implemented method comprising: under control of one or more computing devices configured with specific computer-executable instructions, obtaining first speech recognition results related to an utterance of a user; processing the first speech recognition results to identify: a first named entity; and a second named entity; determining that the first named entity is associated with the second named entity; performing a search of a data store for the first named entity and the second named entity, wherein the data store comprises a plurality of resolved named entities and information indicating relationships between resolved named entities in the plurality of resolved named entities; determining, from the search of the data store, that the first named entity corresponds to a first resolved named entity and that the second named entity corresponds to a second resolved named entity, wherein the information of the data store indicates that the first resolved named entity is related to the second resolved named entity; determining that a confidence score associated with the first resolved named entity meets or exceeds a threshold confidence score; obtaining second speech recognition results based on the first resolved name entity; and generating a response based at least partly on the second speech recognition results. 10. The computer-implemented method of claim 5 , wherein: performing the search of the data store for the first named entity and the second named entity further comprises retrieving a plurality of resolved named entity combinations from the data store, wherein each of the resolved named entity combinations is associated with a confidence score; and determining, from the search of the data store, that the first named entity corresponds to the first resolved named entity and that the second named entity corresponds to the second resolved named entity comprises selecting a resolved named entity combination comprising the first resolved named entity and the second resolved named entity based at least partly on a confidence score associated with the resolved named entity combination that is selected.