Corporate-Family Resolution Is Not a String-Matching Problem: A Public Benchmark Stratified by Name Visibility

Researchers introduce a public benchmark for corporate-family resolution (entity matching across related organizations) that reveals name visibility significantly impacts model performance—a finding overlooked by traditional string-matching approaches. The work demonstrates that enterprise entity resolution systems require stratified evaluation beyond surface-level name similarity to handle real-world data complexity.

Researchers introduce a public benchmark for corporate-family resolution (entity matching across related organizations) that reveals name visibility significantly impacts model performance—a finding overlooked by traditional string-matching approaches. The work demonstrates that enterprise entity resolution systems require stratified evaluation beyond surface-level name similarity to handle real-world data complexity. This has direct implications for data integration and MDM (Master Data Management) in regulated sectors handling corporate hierarchies and relationships.

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