Triple

T8451126
Position Surface form Disambiguated ID Type / Status
Subject The Great Debaters E199799 entity
Predicate editedBy P1954 FINISHED
Object Hughes Winborne E167022 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: Hughes Winborne | Statement: [The Great Debaters, editedBy, Hughes Winborne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hughes Winborne
Context triple: [The Great Debaters, editedBy, Hughes Winborne]
  • A. Hughes Winborne chosen
    Hughes Winborne is an American film editor best known for his Academy Award–winning work on the film "Crash" and his editing on numerous major Hollywood productions.
  • B. Alan Musgrave
    Alan Musgrave is a New Zealand-based philosopher of science known for his work on scientific realism and critical rationalism, strongly shaped by the ideas of Karl Popper.
  • C. Christopher Blunt
    Christopher Blunt is a British political figure known for his involvement in conservative politics and public service.
  • D. Milton Chantry
    Milton Chantry is a historic medieval building in Gravesend, Kent, that has served variously as a chantry chapel, private residence, and part of a military hospital.
  • E. Joseph Hepworth
    Joseph Hepworth was a 19th-century British clothing manufacturer and entrepreneur whose tailoring business evolved into what is now the fashion retailer Next plc.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dd14484819082f0319455011a22 completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.