entity-disambiguation

Resolve duplicate entities across CRM systems by matching shared identifiers, fuzzy names, and domain correlations to produce canonical records and sameAs links. Use signals such as ABN, URL, email, and phone to merge duplicate organizations and people into unified profiles.

Entity resolution identifies alias entities mentioned in different contexts and merges them into canonical representations to build a cohesive knowledge graph. It outputs canonical @id values, alternateName fields, and sameAs links to interlink external profiles across disparate data sources.

Address proximity and email signals can be used for product entity disambiguation alongside exact name matches, URL correlations, and contextual cues. The workflow evaluates these combined signals to accurately resolve product identities and generate interlinked canonical profiles.

Generate sameAs mappings for cross-platform directory profiles by running the disambiguation workflow on entity lists to identify shared identifiers and name variations. The workflow produces canonical identifiers, alternate names, and interlinked external profiles with documented confidence levels.

Entity disambiguation provides confidence levels and data lineage by generating an entity-resolution report that documents merge decisions. This report tracks the exact signals used, such as fuzzy name matches and shared ABN or phone identifiers, ensuring transparent canonical record creation.