Triple

T3350584
Position Surface form Disambiguated ID Type / Status
Subject Generation E70481 entity
Predicate ageClassification P24070 FINISHED
Object films suitable for children 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: films suitable for children | Statement: [Generation, ageClassification, films suitable for children]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ageClassification
Context triple: [Generation, ageClassification, films suitable for children]
  • A. USRating
    Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
  • B. mpaaRating
    Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
  • C. PEGIRating
    Indicates the creditworthiness assessment assigned by the PEGI rating system, reflecting the level of financial risk associated with an entity.
  • D. CPVRating chosen
    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. hasAdultRank
    Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb220721c81909eb4d8d35c923927 completed March 8, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69ada42fbe7c8190b9f185b5ab985f17 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.