Triple

T110100
Position Surface form Disambiguated ID Type / Status
Subject Sleepy Hollow (1999 film) E2227 entity
Predicate ratingMPAA 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: [Sleepy Hollow (1999 film), ratingMPAA, R]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ratingMPAA
Context triple: [Sleepy Hollow (1999 film), ratingMPAA, R]
  • A. mpaaRating chosen
    Indicates the official Motion Picture Association of America (MPAA) content rating assigned to a film or audiovisual work.
  • B. TVRating
    Indicates the content rating assigned to a television program, reflecting its suitability for specific audiences.
  • C. bbfcRatingUK
    Indicates the film or media content rating assigned by the British Board of Film Classification (BBFC) in the United Kingdom.
  • D. TVShare
    Indicates a relationship where one entity shares access to or usage of a television (or TV-related content/service) with another entity.
  • E. rankedBy
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a258b58efc8190959c86f73d67b744 completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25641058c8190b5b64509b35d8176 completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.