1. A machine for determining potential unknown unknowns for an assisted decision making system, where an unknown unknown is an item of data that is missing from a story of interest and whose absence is not accounted for in the story of interest, comprising: a processor; a memory containing: an information extraction algorithm that extracts evidence from unformatted text segments to produce an evidence template and an associated confidence value from a given text segment; a plurality of inferencing algorithms, a given inferencing algorithm receiving evidence templates from the information extraction component and generating a story fragment comprising at least one hypothesis, evidence supporting the at least one hypothesis, and respective belief values associated with the at least one hypothesis from the evidence stored in the knowledge base; and an arbitrator, associated with the assisted decision making system, that compares the at least one hypothesis and the evidence supporting the at least one hypothesis comprising the story fragment to a plurality of hypotheses and associated evidence comprising a story of interest associated with the assisted decision making system to determine if the story fragment is sufficiently related to the story of interest as to represent a potential unknown unknown within the story of interest.