Triple

T14955583
Position Surface form Disambiguated ID Type / Status
Subject George Carlin's "Seven Dirty Words" monologue E372915 entity
Predicate regulatoryImpactOn P44198 FINISHED
Object Federal Communications Commission policies 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: Federal Communications Commission policies | Statement: [George Carlin's "Seven Dirty Words" monologue, regulatoryImpactOn, Federal Communications Commission policies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryImpactOn
Context triple: [George Carlin's "Seven Dirty Words" monologue, regulatoryImpactOn, Federal Communications Commission policies]
  • A. regulationImpact chosen
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • B. recognizesImpactOn
    Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
  • C. regulatoryResponse
    Indicates a reaction, decision, or adjustment made by a regulatory body in response to a particular event, condition, or entity’s behavior.
  • D. regulatesOrIsRegulatedBy
    Indicates a bidirectional regulatory relationship in which one entity controls, influences, or modulates another, or is itself controlled, influenced, or modulated by that other entity.
  • E. legislativeImpact
    Indicates the effect that a law or legislative action has on a policy, entity, or outcome.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cc73848190ac181782b20dc838 completed April 15, 2026, 12:07 a.m.
PD Predicate disambiguation batch_69de9a588c2c8190b1245a1c406f447c completed April 14, 2026, 7:49 p.m.
Created at: April 10, 2026, 2:40 a.m.