Triple

T20517475
Position Surface form Disambiguated ID Type / Status
Subject Equals E503717 entity
Predicate screenwriter P2831 FINISHED
Object Nathan Parker 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: Nathan Parker | Statement: [Equals, screenwriter, Nathan Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Parker
Context triple: [Equals, screenwriter, Nathan Parker]
  • A. Nathan Parker chosen
    Nathan Parker is a British screenwriter best known for writing the acclaimed science fiction film "Moon."
  • B. Ian Parker
    Ian Parker is a British keyboardist best known for his work with the rock band The Hollies and various other prominent artists.
  • C. Jason Neville
    Jason Neville is a character in the post-apocalyptic television series "Revolution," which follows survivors navigating a world where all electricity has mysteriously ceased to function.
  • D. Curtis Hunt
    Curtis Hunt is a Canadian former professional ice hockey defenceman and coach who has been prominently involved in junior hockey, including coaching in the Western Hockey League and serving in management roles.
  • E. Shaun Parkes
    Shaun Parkes is a British actor known for his versatile performances in film, television, and theatre, including prominent roles in series such as "Casanova," "Doctor Who," and "Small Axe."
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
Created at: April 16, 2026, 11:36 a.m.