Triple

T19624050
Position Surface form Disambiguated ID Type / Status
Subject Newry and Armagh E471086 entity
Predicate hasFormerMP P14473 FINISHED
Object Jim Nicholson 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: Jim Nicholson | Statement: [Newry and Armagh, hasFormerMP, Jim Nicholson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Nicholson
Context triple: [Newry and Armagh, hasFormerMP, Jim Nicholson]
  • A. Jim Nicholson chosen
    Jim Nicholson is a Northern Irish Ulster Unionist politician best known for his long service as a Member of the European Parliament representing Northern Ireland.
  • B. Jim Nicholson
    Jim Nicholson is an American politician and attorney who served as chairman of the Republican National Committee before later becoming U.S. Secretary of Veterans Affairs.
  • C. Ron Nicholson
    Ron Nicholson is a computer engineer best known as one of the original hardware designers behind the Amiga computer.
  • D. Bob Nelson
    Bob Nelson is an American comedian and actor known for his sketch and stand-up comedy, including his work on the Seattle-based TV show "Almost Live!".
  • E. Bob Nelson
    Bob Nelson is an American screenwriter best known for writing the acclaimed film "Nebraska," which earned him an Academy Award nomination for Best Original Screenplay.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e8695c81909268c5a91cdbb7fa completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.