Triple

T10720060
Position Surface form Disambiguated ID Type / Status
Subject Antony Gibbs E252793 entity
Predicate hasNameInLanguage P15 FINISHED
Object Antony Gibbs E252793 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: Antony Gibbs | Statement: [Antony Gibbs, hasNameInLanguage, Antony Gibbs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antony Gibbs
Context triple: [Antony Gibbs, hasNameInLanguage, Antony Gibbs]
  • A. Antony Gibbs chosen
    Antony Gibbs was a British film editor known for his work on influential films of the 1960s and 1970s.
  • B. Tony Gibbs
    Tony Gibbs is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Gibbs.
  • C. Gil Taylor
    Gil Taylor was a renowned British cinematographer known for his innovative visual work on films such as "Star Wars," "Dr. Strangelove," and "A Hard Day's Night."
  • D. Anthony Gubbay
    Anthony Gubbay is a prominent Zimbabwean jurist who served as Chief Justice and became known for his strong defense of judicial independence and the rule of law.
  • E. Johnny Brazier
    Johnny Brazier was an American stock car racer best known as a member of the famed Alabama Gang, a group of influential drivers in Southern short-track and NASCAR racing.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d42033c81908cafe500213a9da1 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb72b9ce08190a9134f3365d3f8cb completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:13 p.m.