Triple

T2351429
Position Surface form Disambiguated ID Type / Status
Subject Black Widow E47455 entity
Predicate MPAARating_US P1959 FINISHED
Object PG-13 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: PG-13 | Statement: [Black Widow, MPAARating_US, PG-13]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: MPAARating_US
Context triple: [Black Widow, MPAARating_US, PG-13]
  • 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 chosen
    Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
  • C. TVRatingUS
    Indicates the television content rating assigned to a program under the U.S. TV parental guidelines system.
  • 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. TVRating
    Indicates the content rating assigned to a television program, reflecting its suitability for specific audiences.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abcb802da08190980100444010f91e completed March 7, 2026, 6:53 a.m.
PD Predicate disambiguation batch_69abc5981ce48190a3f7852d28276e11 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:54 p.m.