Triple

T20878940
Position Surface form Disambiguated ID Type / Status
Subject Fizzy Lifting Drinks room E514092 entity
Predicate consequenceInFilm P137166 FINISHED
Object causes Charlie and Grandpa Joe to almost be disqualified from the prize LITERAL 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: causes Charlie and Grandpa Joe to almost be disqualified from the prize | Statement: [Fizzy Lifting Drinks room, consequenceInFilm, causes Charlie and Grandpa Joe to almost be disqualified from the prize]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: consequenceInFilm
Context triple: [Fizzy Lifting Drinks room, consequenceInFilm, causes Charlie and Grandpa Joe to almost be disqualified from the prize]
  • A. consequenceInText
    Indicates that one event, action, or state is presented in the text as a consequence or result of another.
  • B. consequenceOfInfluence
    Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
  • C. hasConsequence
    Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
  • D. narrativeConsequence
    Indicates that one event, action, or state occurs as a direct result or outcome of another within a narrative sequence.
  • E. hasOutcomeInFilm chosen
    Indicates that a particular event, action, or situation results in a specific outcome within the context of a film.
  • F. None of above.

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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c678b394819096a17de9e04cd74f completed April 21, 2026, 12:36 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:45 p.m.