Triple

T23207406
Position Surface form Disambiguated ID Type / Status
Subject Casey Wilson E580496 entity
Predicate notableWork P4 FINISHED
Object Bride Wars 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: Bride Wars | Statement: [Casey Wilson, notableWork, Bride Wars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bride Wars
Context triple: [Casey Wilson, notableWork, Bride Wars]
  • A. Bride Wars chosen
    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.
  • B. Wedding Wars
    Wedding Wars is a romantic comedy film centered on a gay wedding planner whose strike for marriage equality disrupts his brother’s high-profile nuptials.
  • C. Bridezillas
    Bridezillas is a reality television series that follows demanding and over-the-top brides as they plan their weddings, often highlighting dramatic conflicts and extreme behavior.
  • D. The Bridesmaid
    The Bridesmaid is a psychological crime novel by British author Ruth Rendell that explores obsession, moral ambiguity, and escalating violence within an intense romantic relationship.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907d8be08190a100d99efaff9964 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.