System and method for semi-automated adjudicated identity resolution in the context of non-dispositive scenarios

The semi-automated identity resolution method addresses scalability and bias issues by using granular indicia assessments and client-specific priorities to refine outcomes, improving accuracy and reducing manual intervention in identity resolution systems.

WO2026015690A9 Publication Date: 2026-06-18THE DUN & BRADSTREET CORP
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
THE DUN & BRADSTREET CORP
Filing Date
2025-07-10
Publication Date
2026-06-18

AI Technical Summary

⚠Technical Problem

Existing identity resolution systems face challenges in handling emerging use cases requiring sophisticated and targeted decision-making, as manual intervention is not scalable and prone to human biases, leading to inconsistent and less optimal outcomes.

⚗Method used

A semi-automated adjudicated identity resolution method that employs a core capabilities stage for a single pass and extends it with an attribution stage, leveraging granular indicia assessments, and considers client-specific priorities and intent to refine outcomes through multiple passes and reinforcement, capturing experiential data for continuous improvement.

🎯Benefits of technology

This approach enhances the accuracy and acceptance of identity resolution results by aligning them with client preferences, reducing the need for manual intervention, and enabling continuous maturation of decision-making processes.

✦ Generated by Eureka AI based on patent content.

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Abstract

A method for semi-automated adjudicated identity resolution comprising: seeking best match entity candidates via a core capabilities stage for the identity resolution wherein the core capabilities are called multiple times in parallel, providing differing subsets of the full inquiry indicia received from client, such that a large number of possible outcomes can be observed depending on which inquiry indica are used in combination with others; and assigning an initial outcome code for the resulting winner for each pass; wherein the initial outcome code may later be promoted or improved when considered in conjunction with the outcome of one or more other pass outcomes. Stewardship intent is monitored and, in the event an "accept" outcome is not initially found, the system recursively leverages the most positive results of prior attempts and generates additional passes in an effort to find a more acceptable outcome. Interim and eventual results are all experiential data and are captured for multiple uses including, but not limited to, tuning methods, input to Al methods for tuning, and informs downstream discovery and curation processes.
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