Triple

T20152807
Position Surface form Disambiguated ID Type / Status
Subject Counting the Beat E491477 entity
Predicate producer P490 FINISHED
Object David Tickle 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: David Tickle | Statement: [Counting the Beat, producer, David Tickle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Tickle
Context triple: [Counting the Beat, producer, David Tickle]
  • A. David Tickle chosen
    David Tickle is a British record producer and audio engineer known for his work with prominent rock and pop artists from the late 20th century.
  • B. Michael Tiddes
    Michael Tiddes is an American film director best known for helming parody and comedy films such as the spoof horror movie "A Haunted House."
  • C. Simon Tindall
    Simon Tindall is a cinematographer known for his work on the British coming-of-age film "Days of the Bagnold Summer."
  • D. Duncan Gibbins
    Duncan Gibbins was a British film and music video director known for his stylish work in the 1980s, including videos for major pop artists.
  • E. Tim Fywell
    Tim Fywell is a British film and television director known for his work on literary adaptations and period dramas.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667dda9b4819097ff66bb2b50fc21 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.