1. A method comprising: receiving, by an entity extraction computer, an electronic document having unstructured text; extracting, by the entity extraction computer, an entity identifier from the unstructured text in the electronic document; extracting, by a topic extraction computer, a topic identifier from the unstructured text in the electronic document; extracting, by a fact extraction computer, a fact identifier from the unstructured text in the electronic document by comparing text string structures in the unstructured text to a fact template database, the fact template database having stored therein a fact template model identifying keywords pertaining to specific fact identifiers and corresponding keyword weights; and associating, by a fact relatedness estimator computer, the entity identifier with the topic identifier and the fact identifier to determine a confidence score indicative of a degree of accuracy of extraction of the fact identifier.