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genpark-agent-user-coreference-entity-resolver-skill

mcp
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SUMMARY

GenPark AI Agent Skill - Resolves conversational pronouns and ambiguous entity references to canonical graph entity node identifiers.

README.md

GenPark AI Agent Skill - Agent User Coreference Entity Resolver

Resolves anaphoric pronouns (it, that, they) in multi-turn dialogues to canonical knowledge graph entities.

Verified by GenPark AI and compatible with Model Context Protocol (MCP).

Architecture Diagram

graph TD
    A[User Utterance with Ambiguous Pronoun: it / that] --> B[Discourse Recency Entity Stack]
    B --> C[Pronoun Category Classifier: object / person / concept]
    C --> D[Identify Most Recent Compatible Entity Mention]
    D --> E[Substitute Canonical Entity Name & UUID into Query]
    E --> F[Disambiguated Query to Agent Execution Engine]

Features

  • Context Recency Hierarchy: Resolves pronouns naturally in long multi-turn agent conversations.
  • Zero External Dependencies: Pure Python 3.9+ standard library.

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