Triple

T14397800
Position Surface form Disambiguated ID Type / Status
Subject Can't Stop the Music E356994 entity
Predicate screenwriter P2831 FINISHED
Object Bronté Woodard E670895 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: Bronté Woodard | Statement: [Can't Stop the Music, screenwriter, Bronté Woodard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bronté Woodard
Context triple: [Can't Stop the Music, screenwriter, Bronté Woodard]
  • A. Brontë Woodard chosen
    Brontë Woodard was an American screenwriter best known for co-writing the hit 1978 film adaptation of the musical "Grease."
  • B. Eboni Mills
    Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
  • C. Barboura Morris
    Barboura Morris was an American actress best known for her roles in several 1950s and 1960s low-budget and cult films, particularly those produced by American International Pictures.
  • D. Alma Wheatley
    Alma Wheatley is a central character in the miniseries "The Queen's Gambit," depicted as the troubled yet supportive adoptive mother of chess prodigy Beth Harmon.
  • E. Ruby Aldridge
    Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8137348190b332e27f3d71d4f0 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:17 a.m.