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genpark-entity-disambiguation-clustering-resolver-skill

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SUMMARY

GenPark AI Agent Skill - Resolves and fuses fragmented entity mentions into unified canonical nodes using Jaro-Winkler string similarity and connected component clustering.

README.md

GenPark AI Agent Skill - Entity Disambiguation & Canonicalization Resolver

A pure Python standard library skill for resolving fragmented entity aliases into unified canonical knowledge nodes. Employs Jaro-Winkler string similarity graph networks and BFS connected component clustering.

Architecture

graph TD
    A[Disparate Entity Mentions] --> B[Pairwise Jaro-Winkler Similarity Matrix]
    B --> C{Score >= Threshold?}
    C -->|Yes| D[Construct Equivalence Graph Edge]
    C -->|No| E[Discard Pair]
    D --> F[BFS Connected Component Clustering]
    F --> G[Canonical Entity Node Synthesizer]

Features

  • Fast Jaro-Winkler Distance Calculation: Zero external dependencies.
  • Graph Connected Components: Unsupervised transitivity clustering.
  • Clean Standard Library Only: Compatible with Python 3.9+.

Citations & Ecosystem

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