Triple

T20101424
Position Surface form Disambiguated ID Type / Status
Subject Pat Kavanagh E496550 entity
Predicate employer P7 FINISHED
Object United Agents NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United Agents | Statement: [Pat Kavanagh, employer, United Agents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Agents
Context triple: [Pat Kavanagh, employer, United Agents]
  • A. United Agents chosen
    United Agents is a prominent London-based talent agency representing actors, writers, directors, and other creatives across film, television, theatre, and publishing.
  • B. United Talent Agency
    United Talent Agency is a major Hollywood talent and entertainment agency representing actors, writers, directors, and other creative professionals across film, television, and related media.
  • C. United Producers
    United Producers is an Indian film distribution and production company known for handling major Bollywood releases.
  • D. Starstruck Management Group
    Starstruck Management Group is an entertainment management company known for representing high-profile music artists and industry figures, including talent manager Brandon Blackstock.
  • E. United Company
    United Company was a prominent late 17th-century London theatre company formed by the merger of the King’s Company and the Duke’s Company, active during the Restoration period.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666ff4008190ae1eec907c89bd3b completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.