Triple

T18068089
Position Surface form Disambiguated ID Type / Status
Subject One Man Woman E432343 entity
Predicate writer P1360 FINISHED
Object Mick Leeson 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: Mick Leeson | Statement: [One Man Woman, writer, Mick Leeson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mick Leeson
Context triple: [One Man Woman, writer, Mick Leeson]
  • A. Mick Leeson chosen
    Mick Leeson is a British songwriter and lyricist best known for co-writing the theme song to the James Bond film "For Your Eyes Only."
  • B. Ian Sharp
    Ian Sharp is a British film and television director known for his work on action-driven projects, including sequences in the James Bond film "GoldenEye."
  • C. Anthony Peter McCoy
    Anthony Peter McCoy is a legendary Northern Irish National Hunt jockey, widely regarded as one of the greatest in the history of horse racing.
  • D. Antony Crook
    Antony Crook is a British photographer and filmmaker known for his atmospheric, cinematic imagery and collaborations with musicians and brands.
  • E. John Haire
    John Haire was a British Labour Party politician who served as a Member of Parliament in the mid-20th century.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cceb020081909329492591e7b1f2 completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.