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Entity Resolution and Deduplication Strategies

Techniques for resolving duplicate entities including fuzzy matching, embedding similarity, and LLM-based resolution.

Industry Best Practice2025

Entity resolution strategies: String Similarity (Levenshtein, Jaro-Winkler for name matching), Embedding Similarity (cosine similarity for semantically equivalent entities), LLM-Based Resolution (most accurate but expensive), and Hybrid Approach (filter with string similarity, verify with embeddings, confirm with LLM). Best practices: Run after initial graph construction, merge duplicates, maintain resolution log, re-run periodically.

Tags

entity-resolutiondeduplicationdata-qualityknowledge-graph