Triple

T18000993
Position Surface form Disambiguated ID Type / Status
Subject Trudie Styler E430623 entity
Predicate produced P490 FINISHED
Object American Honey 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: American Honey | Statement: [Trudie Styler, produced, American Honey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Honey
Context triple: [Trudie Styler, produced, American Honey]
  • A. American Honey chosen
    American Honey is a 2016 coming-of-age road drama film about a teenage girl who joins a traveling magazine sales crew, known for its naturalistic style and breakout performances.
  • B. American Honey
    American Honey is a popular country song by the band Lady Antebellum, known for its nostalgic lyrics and melodic, radio-friendly sound.
  • C. Ain't Them Bodies Saints
    Ain't Them Bodies Saints is a 2013 American independent drama film, directed by David Lowery, that follows an outlaw couple in 1970s Texas whose lives are upended by crime, separation, and longing.
  • D. Certain Women
    Certain Women is a 2016 American drama film directed by Kelly Reichardt that interweaves the quiet, everyday lives of several women in rural Montana.
  • E. Love Lies Bleeding
    Love Lies Bleeding is a 2024 neo-noir romantic thriller film starring Kristen Stewart as a reclusive gym manager drawn into a violent, obsessive relationship with an ambitious bodybuilder.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b3e82ca48190aeb53e03c95ef223 completed April 19, 2026, 10:52 a.m.
Created at: April 10, 2026, 10:23 a.m.