Triple

T36778084
Position Surface form Disambiguated ID Type / Status
Subject Ain't Shit E908687 entity
Predicate hasInternetCultureImpact P112465 FINISHED
Object used in short-form video edits 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: used in short-form video edits | Statement: [Ain't Shit, hasInternetCultureImpact, used in short-form video edits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInternetCultureImpact
Context triple: [Ain't Shit, hasInternetCultureImpact, used in short-form video edits]
  • A. hasCulturalImpact
    Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
  • B. hasFandomImpact
    Indicates that something significantly influences, shapes, or contributes to the behavior, culture, or development of a fan community.
  • C. hasPopularityInfluencedBy
    Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
  • D. hasViralImpact chosen
    Indicates that an entity causes, contributes to, or is associated with rapid, wide-scale spread or influence, similar to how viral content propagates.
  • E. influenceOf
    Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
  • 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_69f76e798aa08190ace31098d1b13e9f completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a00c3362dcc819096e49b882709fddd completed May 10, 2026, 5:41 p.m.
PD Predicate disambiguation batch_6a00c2e5cdd88190a5f2d0f6a843cd56 completed May 10, 2026, 5:39 p.m.
Created at: May 3, 2026, 4:12 p.m.