Triple

T3757862
Position Surface form Disambiguated ID Type / Status
Subject United 93 E82090 entity
Predicate cinematographyBy P1953 FINISHED
Object Barry Ackroyd E230331 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: Barry Ackroyd | Statement: [United 93, cinematographyBy, Barry Ackroyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Ackroyd
Context triple: [United 93, cinematographyBy, Barry Ackroyd]
  • A. Barry Ackroyd chosen
    Barry Ackroyd is a British cinematographer renowned for his gritty, handheld visual style in films such as The Hurt Locker, United 93, and Captain Phillips.
  • B. Colin Hanton
    Colin Hanton is an English drummer best known for playing with The Quarrymen, the skiffle group that evolved into The Beatles.
  • C. Nigel Morris
    Nigel Morris is a British-born entrepreneur and investor best known as the co-founder and former president of Capital One, a major U.S. financial services company.
  • D. Dennis FitzSimons
    Dennis FitzSimons is an American media executive best known for serving as chairman and CEO of the Tribune Company.
  • E. John Brett
    John Brett was a 19th-century British painter associated with the Pre-Raphaelite movement, renowned for his highly detailed landscapes and maritime scenes.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc04d348190b0e4a90d18bdd160 completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51c6b2a488190a621cc223c673615 completed March 14, 2026, 8:29 a.m.
Created at: March 8, 2026, 3:35 p.m.