System and method for entity disambiguation for customer relationship management

A system for disambiguating attributes associated with one or more entities, the system comprising:

• an entity disambiguation computer comprising a memory, a processor, and a plurality of programming instructions, the plurality of programming instructions when executed by the processor cause the processor to:
• receive electronic information associated with a candidate entity among the one or more entities in an entity database at pre-defined intervals, wherein the received electronic information comprises multiple versions of data associated with the one or more entities received from one or more external data sources over a network;
• extract and store at the entity database, one or more attributes associated with the candidate entity from the electronic information;
• for each of the one or more attributes, call and run software functions to:
• create and store a set of timeslice objects, wherein the set of timeslice objects are associated with respective durations;
• select and store a subset of timeslice objects from the set timeslice objects for candidate comparison based on an overlap between durations in respective timeslice objects;
• predict whether the subset of timeslice objects corresponds to a same entity by comparing the overlapping durations in the subset of timeslice objects using a machine-learning similarity model comprising weight and biases assigned to sets of previously used overlapping durations to:
• compute, for each attribute, distance vectors between the subset of timeslice objects, wherein a vectorizer converts the overlapping durations to distance vectors;
• predict if the subset of timeslice objects represented by distance vectors correspond to the same entity by comparing the distance vectors with a similarity model comprising weight and biases assigned to sets of previous distance vectors;
• responsive to predicting that the subset of timeslice objects correspond to the same entity, combine the subset of timeslice objects by merging the selected timeslice objects into a single entity identity record, and
• store the prediction;
• and
• responsive to determining, based on the prediction, that the subset of timeslice objects correspond to the same entity, store and merge the subset of timeslice objects to generate an unambiguous entity database.