Triple

T22001991
Position Surface form Disambiguated ID Type / Status
Subject Steve Howey E543348 entity
Predicate appearedIn P795 FINISHED
Object Bride Wars E140012 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: Bride Wars | Statement: [Steve Howey, appearedIn, Bride Wars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bride Wars
Context triple: [Steve Howey, appearedIn, 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 (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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d8de70c819098d3726d18624c4a completed May 18, 2026, 1:38 a.m.
Created at: April 16, 2026, 8:20 p.m.