Triple

T2173399
Position Surface form Disambiguated ID Type / Status
Subject Motion Picture Producers and Distributors of America E48472 entity
Predicate regulationType P14058 FINISHED
Object moral standards in films 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: moral standards in films | Statement: [Motion Picture Producers and Distributors of America, regulationType, moral standards in films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulationType
Context triple: [Motion Picture Producers and Distributors of America, regulationType, moral standards in films]
  • A. regulatoryType chosen
    Indicates the specific kind or category of regulatory control, rule, or oversight that applies in the given relationship.
  • B. worksOnRegulationType
    Indicates that an entity is involved in work or activities related to a specific type or category of regulation.
  • C. subjectToRegulation
    Indicates that an entity is governed, constrained, or controlled by a specific rule, law, or regulatory framework.
  • D. regulatoryStandard
    Indicates that one entity serves as an official rule, guideline, or benchmark that governs, constrains, or evaluates the behavior, quality, or performance of another entity.
  • E. regulatesIn
    Indicates that one entity controls, modulates, or influences the activity, expression, or behavior of another entity within a system or process.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1559ff481908efe3f214b2570dc completed March 7, 2026, 6:10 a.m.
PD Predicate disambiguation batch_69abbd9efc1c81909a65044a1ffc9038 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.