Triple

T8079882
Position Surface form Disambiguated ID Type / Status
Subject Movie and Television Review and Classification Board E188586 entity
Predicate typeOfContentRated P36218 FINISHED
Object local 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: local films | Statement: [Movie and Television Review and Classification Board, typeOfContentRated, local films]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfContentRated
Context triple: [Movie and Television Review and Classification Board, typeOfContentRated, local films]
  • A. hasContentRating chosen
    Indicates that something is associated with a specified content rating that reflects its suitability for particular audiences.
  • B. USRating
    Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
  • C. mpaaRating
    Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
  • D. CPVRating
    Indicates a content rating relationship that specifies the level of suitability or restriction of some media or material according to the CPV rating system.
  • E. PEGIRating
    Indicates the creditworthiness assessment assigned by the PEGI rating system, reflecting the level of financial risk associated with an 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
PD Predicate disambiguation batch_69cb049f1614819087360d1a4c6f0faa completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:28 p.m.