Triple

T18082479
Position Surface form Disambiguated ID Type / Status
Subject Douglas Shearer E432729 entity
Predicate name P16 FINISHED
Object Douglas Shearer NE NERFINISHED

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: Douglas Shearer | Statement: [Douglas Shearer, name, Douglas Shearer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Shearer
Context triple: [Douglas Shearer, name, Douglas Shearer]
  • A. Douglas Shearer chosen
    Douglas Shearer was a pioneering Canadian-American sound engineer and special effects designer in Hollywood, renowned for his groundbreaking work at MGM and multiple Academy Awards.
  • B. Duncan Ferguson
    Duncan Ferguson is a former Scottish professional footballer and coach, best known as a powerful Everton striker in the 1990s and 2000s who later moved into football management.
  • C. Ian O’Shea
    Ian O’Shea is a key human resistance fighter and love interest in the science fiction film "The Host," adapted from Stephenie Meyer’s novel about an alien-invaded Earth.
  • D. Lee Dixon
    Lee Dixon is a former English right-back best known for his long and successful spell at Arsenal, where he won multiple league and cup titles as part of their famous back four.
  • E. Lee Dixon
    Lee Dixon was an American actor and dancer best known for his work in mid-20th-century stage and film musicals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fc0c808190980c7364cf1a9398 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.