Triple

T3785147
Position Surface form Disambiguated ID Type / Status
Subject Black Snake Moan E85512 entity
Predicate screenwriter P2831 FINISHED
Object Craig Brewer E387848 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: Craig Brewer | Statement: [Black Snake Moan, screenwriter, Craig Brewer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Brewer
Context triple: [Black Snake Moan, screenwriter, Craig Brewer]
  • A. Craig Brewer chosen
    Craig Brewer is an American filmmaker and screenwriter best known for gritty, music-infused dramas such as "Hustle & Flow" and the 2011 remake of "Footloose."
  • B. Jason Beattie
    Jason Beattie is a music video director known for his work on the video for the song "Adorn."
  • C. Jeff Bingham
    Jeff Bingham is a sarcastic, sports-loving, and somewhat old-fashioned married man who serves as one of the central characters on the sitcom "Rules of Engagement."
  • D. Michael Finnell
    Michael Finnell is an American film producer best known for his work on popular 1980s and 1990s genre films, including collaborations with director Joe Dante.
  • E. Colin Kroll
    Colin Kroll was an American technology entrepreneur best known as the co-founder of the short-form video platform Vine and the mobile trivia game HQ Trivia.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3dd80f08190a1704521a764e22c completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503eca8408190ae35aeffc2dc1e6c completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:13 p.m.