Explainability in Entity Resolution Decisions Shows Why Records Were Linked or Merged
Blog post from TigerGraph
Entity resolution decisions are critical in determining how records are linked or merged, impacting everything from risk assessments to downstream system operations. However, the explainability of these decisions often falters due to inadequate storage and review processes, which rely heavily on scores and rule triggers without preserving the underlying relationships or evidence. This lack of transparency can lead to unresolved links or merges and makes it difficult for teams to validate decisions retrospectively. Graph-based workflows offer a solution by maintaining connection paths that clarify how records are related, enhancing the ability to reproduce and audit decisions. TigerGraph aids this process by storing entities and relationships, allowing for consistent application of logic across various review stages. By focusing on relationship-based analysis rather than abstract scores, organizations can bolster trust in their entity resolution outcomes, ensuring that decisions remain defensible and usable over time.
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