Triple

T9328394
Position Surface form Disambiguated ID Type / Status
Subject J. Roy Hunt E224453 entity
Predicate name P16 FINISHED
Object J. Roy Hunt E224453 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: J. Roy Hunt | Statement: [J. Roy Hunt, name, J. Roy Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Roy Hunt
Context triple: [J. Roy Hunt, name, J. Roy Hunt]
  • A. J. Roy Hunt chosen
    J. Roy Hunt was an American cinematographer known for his work during Hollywood’s early sound era, contributing to numerous notable films across several decades.
  • B. William Herbert Hunt
    William Herbert Hunt is an American oil billionaire and member of the prominent Hunt family, known for his major role in the 1980 silver market speculation.
  • C. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • D. Humphrey Dixon
    Humphrey Dixon is a British film editor known for his work on the acclaimed period drama "A Room with a View" (1985) and other notable films.
  • E. Cecil Hartnett
    Cecil Hartnett is an individual notable enough to be recognized as a bearer of the Hartnett surname, though specific public details about his life or achievements are not widely documented.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.