Triple

T3194709
Position Surface form Disambiguated ID Type / Status
Subject Paula Patton E66906 entity
Predicate notableWork P4 FINISHED
Object Jumping the Broom E331427 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: Jumping the Broom | Statement: [Paula Patton, notableWork, Jumping the Broom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jumping the Broom
Context triple: [Paula Patton, notableWork, Jumping the Broom]
  • A. Jumping the Broom chosen
    Jumping the Broom is a 2011 romantic comedy-drama film that explores class tensions and family dynamics during an upscale African-American wedding weekend in Martha’s Vineyard.
  • B. The Wedding
    "The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
  • C. A Wedding
    "A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
  • D. 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.
  • E. 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.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada714dbcc8190a7ad21b3c957f151 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bae63688190b2a1a1dba8b2cffa completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.