Entity Reconciliation

Entity reconciliation is the process of matching and merging references to the same entity across different sources and databases, so that what was distributed and potentially inconsistent becomes one consistent, coherent record. Where an organization appears in many places — its own site, multiple knowledge bases, third-party profiles, directories, social platforms — entity reconciliation is the work of ensuring all of those references are recognized as describing the same single entity, and that they agree. The problem entity reconciliation addresses is fragmentation and inconsistency. If different sources describe an organization with different facts — a different founding year, a different leadership list, a different account of what the organization does, variations in the name — generative systems encounter a fragmented and contradictory picture. That fragmentation undermines confident entity recognition, weakens disambiguation, and can lead systems to reproduce inconsistent or outdated information. Entity reconciliation resolves this. It involves identifying all the significant places an organization is represented as an entity, checking them for consistency and accuracy, correcting errors and outdated information where the organization is able to, and ensuring the references are connected — through mechanisms such as the `sameAs` property — so systems understand they all describe one entity. The connection to canonical data and the canonical entity is direct: entity reconciliation depends on a clear, canonical version of the organization's own facts, so that "consistent" means consistent with a single source of truth rather than consistent by accident. For an organization, entity reconciliation is ongoing maintenance as much as a one-time project. New references appear over time, facts change, errors accumulate. Periodically reconciling the entity presence — ensuring every system that models the organization sees one coherent, accurate, connected entity — is part of maintaining sound retrieval infrastructure.