Defines entity integrity and proposes a solution for improving AI systems' accuracy in knowledge graphs, indicating its significance in the field.
EA-EI-01 — Practice definition for Entity Integrity: ensuring AI systems represent an entity as a distinct, correctly attributed node. Catalogs five failure modes: Entity Collision, Entity Fragmentation, Attribution Drift, Category Absorption, Temporal Collapse. Fix: Metadata Packet for AI Indexing. Worked example: Lee Sharks Knowledge Graph (three-way disambiguation). Related disciplines: Retrieval Architecture, Retrieval Forensics, Compression Diagnostics, Metadata Packet for AI Indexing. Published in Transactions of the Semantic Economy Institute, Vol. 2, No. 5.
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Fraction et al. (2026) studied this question.
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