Triple

T22101118
Position Surface form Disambiguated ID Type / Status
Subject Hue and Cry E546172 entity
Predicate certificate P31223 FINISHED
Object BBFC U NE NERFINISHED

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: BBFC U | Statement: [Hue and Cry, certificate, BBFC U]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BBFC U
Context triple: [Hue and Cry, certificate, BBFC U]
  • A. BBFC chosen
    The BBFC (British Board of Film Classification) is the UK’s independent body responsible for classifying and rating films, videos, and some online content for suitability across different age groups.
  • B. CBFC
    CBFC is India’s national film certification authority responsible for reviewing and rating movies before public exhibition.
  • C. BBFC X (original UK release)
    BBFC X (original UK release) was the former British Board of Film Censors’ adults-only classification used at the time of The Shining’s initial UK cinema release.
  • D. E for Everyone
    E for Everyone is an ESRB content rating indicating that a video game is generally suitable for players of all ages.
  • E. Ub
    Ub is a river in western Serbia that serves as one of the tributaries of the Kolubara River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291501508190ad5689be5abb2ba6 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.