Entity resolution is more effective when you can observe how clusters form, connect, and evolve across runs. Once you have run a match or incrementalRun phase, you may like to look under the hood to understand how a cluster got formed and which records matched with each other and which did not. This insight helps with the following:
Model Training and Validation: Quickly check if results match expectations.
Traceability: See exactly how clusters are formed over time.
Governance: Explain results to business stakeholders.
Human-in-the-loop Reviews: Share pair-level evidence with domain experts.
Operational Confidence: Build trust in production pipelines.
