1. A method comprising: determining, using at least one processor, that information for an entity is absent from a data graph; determining, using the at least one processor, an estimate for the information based on a plurality of features from a joint distribution model related to the information; adding the estimate to the data graph so that the estimate is linked to the entity via a relationship indicating that the estimate is not verified; selecting a subset of the plurality of features, wherein the subset is a first subset and selecting the subset includes: determining a contribution value for each of the plurality of features; determining that a second subset of the features are related based on clustering the entity for which the information is missing with other entities having a similar feature; aggregating the features in the second subset to generate an aggregate feature; aggregating the contribution values for the features in the second subset to generate a new contribution score; and selecting the second subset as the first subset; for each feature in the subset of the plurality of features: adding the feature in the data graph, and linking the feature to the estimate; receiving, using the at least one processor, a query that requests the information for the entity; generating an explanation based on the subset of features linked to the estimate in the data graph, wherein the explanation and the estimate are based on the aggregate feature and the new contribution score; and providing the explanation and the estimate as part of a search result for the query.