Triple

T8212962
Position Surface form Disambiguated ID Type / Status
Subject GB News E191864 entity
Predicate formerPresenter P83 FINISHED
Object Andrew Neil E718840 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: Andrew Neil | Statement: [GB News, formerPresenter, Andrew Neil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Neil
Context triple: [GB News, formerPresenter, Andrew Neil]
  • A. Andrew Neil chosen
    Andrew Neil is a veteran British journalist and broadcaster known for his incisive political interviews and leadership roles at major UK media outlets.
  • B. Jeremy Paxman
    Jeremy Paxman is a British broadcaster, journalist, and author best known for his incisive interviewing style on BBC’s Newsnight and as the long-time host of the quiz show University Challenge.
  • C. Matthew Parris
    Matthew Parris is a British political commentator, columnist, and former Conservative MP known for his incisive and often witty analysis of UK politics.
  • D. Neil Warburton
    Neil Warburton is an individual whose name is associated with the use of the item or concept referred to as "Warburton," though specific widely known biographical or professional details are not clearly established.
  • E. Lem Dobbs
    Lem Dobbs is a British-American screenwriter known for his work on films such as "Dark City," "The Limey," and "The Score."
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76e07a1c8190b5d1ec2ef16966ad completed March 31, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34c010b48190b564fd365a5304d1 completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:44 p.m.