Triple

T23148126
Position Surface form Disambiguated ID Type / Status
Subject Gujarati cinema E578248 entity
Predicate hasFilmCertificationAuthority P151110 FINISHED
Object Central Board of Film Certification NE NERFINISHED

How this triple was built (3 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: Central Board of Film Certification | Statement: [Gujarati cinema, hasFilmCertificationAuthority, Central Board of Film Certification]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Board of Film Certification
Context triple: [Gujarati cinema, hasFilmCertificationAuthority, Central Board of Film Certification]
  • A. Central Board of Film Certification chosen
    The Central Board of Film Certification is India’s national film censorship and classification authority responsible for reviewing and certifying movies for public exhibition.
  • B. British Board of Film Censors
    The British Board of Film Censors was the original name of the United Kingdom’s national body responsible for classifying and regulating films before it became the British Board of Film Classification.
  • C. Movie and Television Review and Classification Board
    The Movie and Television Review and Classification Board is a Philippine government agency responsible for reviewing, rating, and regulating movies and television programs for public exhibition.
  • D. National Board of Censorship
    The National Board of Censorship, later known as the National Board of Review, was an early 20th-century American organization that evaluated and regulated motion pictures for moral and social acceptability.
  • E. Films Division of India
    Films Division of India is a government-run film production and distribution organization known for creating documentaries, newsreels, and short films that chronicle and promote India’s social, cultural, and political narratives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFilmCertificationAuthority
Context triple: [Gujarati cinema, hasFilmCertificationAuthority, Central Board of Film Certification]
  • A. filmCertificationIndia
    Indicates the official age-appropriateness or content rating assigned to a film by the Indian certification authority.
  • B. 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.
  • C. filmRatingCanada
    Indicates the film’s official content rating as assigned by Canadian film classification authorities.
  • D. filmRatingRegion
    Indicates the region or country for which a film’s content rating or classification is applicable.
  • E. bbfcRatingUK
    Indicates the film or media content rating assigned by the British Board of Film Classification (BBFC) in the United Kingdom.
  • F. None of above. chosen

Provenance (4 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecf9e9881908991ede784158f1e completed April 29, 2026, 4:53 a.m.
PD Predicate disambiguation batch_69ef89f83b108190aaaa1db6221fc163 completed April 27, 2026, 4:08 p.m.
PDg Predicate description generation batch_69ef9b7494f4819088ae59ea3d0ae8ab completed April 27, 2026, 5:23 p.m.
Created at: April 17, 2026, 4:01 p.m.