Triple

T23389439
Position Surface form Disambiguated ID Type / Status
Subject The Interpreter E593971 entity
Predicate starring P1507 FINISHED
Object Earl Cameron 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: Earl Cameron | Statement: [The Interpreter, starring, Earl Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Earl Cameron
Context triple: [The Interpreter, starring, Earl Cameron]
  • A. Earl Cameron chosen
    Earl Cameron was a pioneering Bermudian-born British actor renowned for breaking racial barriers in British cinema and television from the 1950s onward.
  • B. Arthur Cameron
    Arthur Cameron is a member of the Cameron family, known publicly as one of the children of former UK Prime Minister David Cameron.
  • C. Arthur Cameron
    Arthur Cameron was the husband of American actress and dancer Ann Miller.
  • D. Harry Watt
    Harry Watt was a British film director and producer known for his influential work in documentary and wartime cinema during the mid-20th century.
  • E. Stewart Menzies
    Stewart Menzies was the head of Britain’s Secret Intelligence Service (MI6) during World War II, overseeing key intelligence operations including those at Bletchley Park.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a49a7c14819082aab826715976c5 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.