Triple

T22259321
Position Surface form Disambiguated ID Type / Status
Subject Rough Night E550176 entity
Predicate title P38 FINISHED
Object Rough Night — 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: Rough Night | Statement: [Rough Night, title, Rough Night]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rough Night
Context triple: [Rough Night, title, Rough Night]
  • A. Rough Night chosen
    Rough Night is a 2017 American dark comedy film about a bachelorette weekend gone disastrously wrong, starring Scarlett Johansson, Jillian Bell, and an ensemble cast.
  • B. Special Night
    Special Night is likely a segment or component of the larger work "A Night on the Town," contributing to its overall narrative or thematic structure.
  • C. Live by Night
    Live by Night is a 2016 American crime drama film, based on Dennis Lehane’s novel, that follows a Prohibition-era gangster’s rise in the world of organized crime.
  • D. A Night Out
    A Night Out is a 1915 silent comedy film starring Charlie Chaplin, produced during his early period in American cinema.
  • E. A Night Out
    A Night Out is a 1925 Broadway musical comedy with music by Vincent Youmans, known for its lighthearted score and contribution to early American musical theatre.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.