Abstract: A unit-classification system receives a data set with identity data objects corresponding to personal identity components. Feature vectors are determined for the identity data objects. A trained classifier model determines, based on a feature vector for each identity data object, whether the corresponding personal identity components are included in a identity component (“IC”) category. The unit-classification system generates an IC identification for a first IC category, and associates the IC identification with a first identity data object corresponding to a first personal identity component. The unit-classification system identifies a second identity data object corresponding to a second personal identity component included in the first IC category. The unit-classification system modifies the first and second identity data objects to include the IC identification.