Triple

T21990541
Position Surface form Disambiguated ID Type / Status
Subject Reverend Frank E543071 entity
Predicate partOf P40 FINISHED
Object License to Wed (2007 film) 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: License to Wed (2007 film) | Statement: [Reverend Frank, partOf, License to Wed (2007 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: License to Wed (2007 film)
Context triple: [Reverend Frank, partOf, License to Wed (2007 film)]
  • A. License to Wed chosen
    License to Wed is a 2007 romantic comedy film in which a young couple’s plans to marry are complicated by an eccentric minister’s demanding pre-marital course.
  • B. American Wedding
    American Wedding is a 2003 American comedy film, the third installment in the American Pie series, following the characters as they navigate the chaos surrounding Jim and Michelle’s wedding.
  • C. Wedding Crashers
    Wedding Crashers is a 2005 American comedy film about two divorce mediators who crash weddings to meet women, starring Owen Wilson and Vince Vaughn.
  • D. Bride Wars
    Bride Wars is a 2009 romantic comedy film about two best friends who become rivals when their weddings are accidentally scheduled for the same day.
  • E. I Knew the Bride
    "I Knew the Bride" is a poetry collection by British poet Hugo Williams, known for its wry, intimate reflections on memory, family, and personal relationships.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270d7cbc819086eea86be04a2ec0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.