Triple

T22102371
Position Surface form Disambiguated ID Type / Status
Subject Nine Men E546201 entity
Predicate screenwriter P2831 FINISHED
Object Harry Watt 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: Harry Watt | Statement: [Nine Men, screenwriter, Harry Watt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Watt
Context triple: [Nine Men, screenwriter, Harry Watt]
  • A. Harry Watt chosen
    Harry Watt was a British film director and producer known for his influential work in documentary and wartime cinema during the mid-20th century.
  • B. Earl Cameron
    Earl Cameron was a pioneering Bermudian-born British actor renowned for breaking racial barriers in British cinema and television from the 1950s onward.
  • C. 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.
  • D. Roeg Sutherland
    Roeg Sutherland is a film industry executive and talent agent known for his work in film finance and packaging, and as the son of actor Donald Sutherland.
  • E. Richie Wise
    Richie Wise is a musician best known as a member of the hard rock band Dust.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.