Triple

T24204224
Position Surface form Disambiguated ID Type / Status
Subject Attitude Adjustment E600058 entity
Predicate hasKayfabeEffect P155187 FINISHED
Object knocks opponent down for a pin 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: knocks opponent down for a pin | Statement: [Attitude Adjustment, hasKayfabeEffect, knocks opponent down for a pin]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKayfabeEffect
Context triple: [Attitude Adjustment, hasKayfabeEffect, knocks opponent down for a pin]
  • A. kayfabeStatus
    Indicates the status of whether an event, action, or portrayal is being presented as part of the scripted, in-universe narrative (kayfabe) or acknowledged as non-scripted reality.
  • B. kayfabe
    Indicates the relationship or action of presenting events, rivalries, or personas as real and unscripted, despite being staged or predetermined.
  • C. hasEffectIn
    Indicates that one entity produces, causes, or exerts an effect within a specified context, system, or environment.
  • D. usesStageEffects
    Indicates that an entity employs stage-based visual, auditory, or mechanical effects as part of a performance or presentation.
  • E. hasIntendedEffect
    Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
  • F. None of above. chosen

Provenance (4 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_69e288ceaab88190899d0acb5931591d completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f27ca38c148190ae65cd692567d43d completed April 29, 2026, 9:48 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
PDg Predicate description generation batch_69f1c9834064819082024233d9c6f98f completed April 29, 2026, 9:04 a.m.
Created at: April 17, 2026, 11:37 p.m.