Triple

T21117110
Position Surface form Disambiguated ID Type / Status
Subject Moonwalkers E520327 entity
Predicate writer P1360 FINISHED
Object Dean Craig 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: Dean Craig | Statement: [Moonwalkers, writer, Dean Craig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dean Craig
Context triple: [Moonwalkers, writer, Dean Craig]
  • A. Dean Craig chosen
    Dean Craig is a British screenwriter best known for writing the dark comedy film "Death at a Funeral."
  • B. Curtis Craig
    Curtis Craig was the male college student who served as the named plaintiff challenging Oklahoma's gender-based drinking age law in the landmark U.S. Supreme Court case Craig v. Boren.
  • C. Steven Craig
    Steven Craig is best known as the former husband of acclaimed American actress Sally Field.
  • D. Don Ross
    Don Ross is a Canadian fingerstyle guitarist and composer renowned for his innovative percussive acoustic guitar techniques and intricate solo arrangements.
  • E. Sam Craig
    Sam Craig is a central character in the classic film "Woman of the Year," serving as the down-to-earth sports reporter whose relationship with high-profile journalist Tess Harding drives the movie’s romantic and thematic conflicts.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.