Triple

T8186883
Position Surface form Disambiguated ID Type / Status
Subject Nigel Davenport E191206 entity
Predicate notableWork P4 FINISHED
Object Play Dirty E636829 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: Play Dirty | Statement: [Nigel Davenport, notableWork, Play Dirty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Play Dirty
Context triple: [Nigel Davenport, notableWork, Play Dirty]
  • A. Play Dirty chosen
    "Play Dirty" is a 1969 British war film set in North Africa during World War II, known for its gritty realism and cynical take on commando missions behind enemy lines.
  • B. Dirty Hands, Dirty Face
    "Dirty Hands, Dirty Face" is a popular song from the late 1920s best known for its emotional performance by Al Jolson in the pioneering sound film *The Jazz Singer*.
  • C. Dirty Fingers
    Dirty Fingers is a hard rock/blues album by Irish guitarist Gary Moore, known for its raw sound and energetic guitar work.
  • D. Something Dirty/Pic Got Us
    "Something Dirty/Pic Got Us" is a song by the American glam metal band Poison, featured on one of their later releases.
  • E. Dirty Laundry
    Dirty Laundry is a film directed by American filmmaker Phil Joanou.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4d9e01208190842170abf62d9afb completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced7a109c819092d43d9e3cfc0706 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:41 p.m.