Triple

T15692008
Position Surface form Disambiguated ID Type / Status
Subject Elle Driver E380352 entity
Predicate antagonistOf P18963 FINISHED
Object The Bride E528805 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: The Bride | Statement: [Elle Driver, antagonistOf, The Bride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Bride
Context triple: [Elle Driver, antagonistOf, The Bride]
  • A. The Bride
    "The Bride" is a film project written by Scottish screenwriter Krysty Wilson-Cairns, known for her work on dark, character-driven genre stories.
  • B. The Bride
    The Bride is a painting by American Romantic artist Washington Allston, reflecting his characteristic blend of dramatic emotion and atmospheric, poetic imagery.
  • C. The Bride
    The Bride is an ancient Greek comedy by the playwright Diphilus, likely centered on domestic and romantic themes typical of New Comedy.
  • D. The Bride
    The Bride is a pioneering Dada photomontage by German artist Hannah Höch that critiques traditional gender roles and representations of women.
  • E. The Bride chosen
    The Bride is the vengeful, katana-wielding former assassin and central protagonist of Quentin Tarantino’s Kill Bill films, known for her relentless quest to destroy her old hit squad and their leader, Bill.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff756ffcc88190a72440c7b40711ff completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.