Triple

T5319564
Position Surface form Disambiguated ID Type / Status
Subject Sling Blade E121637 entity
Predicate filmRatingUSA P1959 FINISHED
Object R 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: R | Statement: [Sling Blade, filmRatingUSA, R]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filmRatingUSA
Context triple: [Sling Blade, filmRatingUSA, R]
  • A. USRating
    Indicates that an entity has been assigned a rating, classification, or evaluation according to a United States–based standard or system.
  • B. TVRatingUS
    Indicates the television content rating assigned to a program under the U.S. TV parental guidelines system.
  • C. mpaaRating chosen
    Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
  • D. TVRating
    Indicates the content rating assigned to a television program, reflecting its suitability for specific audiences.
  • E. hasFilmRatingAustralia
    Indicates that an entity (typically a film or audiovisual work) has a specific official classification or rating assigned by the Australian film rating system.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd86f20f008190be7b5848af05f2b8 completed March 20, 2026, 5:42 p.m.
PD Predicate disambiguation batch_69bd84561c7081909e5937c7816e492c completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 1:59 p.m.