Entity Integrity: Maintaining Accurate Representation in AI Knowledge Graphs

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.