Triple

T4866387
Position Surface form Disambiguated ID Type / Status
Subject UUP E108979 entity
Predicate notableLeader P304 FINISHED
Object Mike Nesbitt E108982 NE FINISHED

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: Mike Nesbitt | Statement: [UUP, notableLeader, Mike Nesbitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Nesbitt
Context triple: [UUP, notableLeader, Mike Nesbitt]
  • A. Mike Nesbitt chosen
    Mike Nesbitt is a Northern Irish politician and former broadcaster who served as leader of the Ulster Unionist Party.
  • B. Brian Paisley
    Brian Paisley is a Canadian theatre producer and writer best known for creating the Edmonton Fringe Theatre Festival, which helped popularize the fringe theatre movement in North America.
  • C. Michael Coulter
    Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
  • D. Daniel Millar
    Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • E. Conor McCaughan
    Conor McCaughan is a film producer known for his work on independent and arthouse films, including the critically acclaimed western "Slow West."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7a42f88190bb1ef7261bcbc2a8 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67e5d96c8190b2a509d9fb81211a completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:26 p.m.