Triple

T2546746
Position Surface form Disambiguated ID Type / Status
Subject Bachelor Mother E57919 entity
Predicate cinematographyBy P1953 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: [Bachelor Mother, cinematographyBy, J. Roy Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: J. Roy Hunt
Context triple: [Bachelor Mother, cinematographyBy, 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. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • C. Gerald Wilkinson
    Gerald Wilkinson was a British naturalist, illustrator, and author known for his influential books on trees, woodlands, and the English countryside.
  • D. Frank Armstrong Crawford
    Frank Armstrong Crawford was a 19th-century American philanthropist best known as the second wife of railroad magnate Cornelius Vanderbilt and a major benefactor of Vanderbilt University.
  • E. Ralph Hunt
    Ralph Hunt is a personal name shared by multiple individuals, including various historical and contemporary figures across different fields.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2e5152c8190b31a5e732d0dde44 completed March 7, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d0a884c81909d7f537a79ccb435 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.