Triple

T16527617
Position Surface form Disambiguated ID Type / Status
Subject Rasool Pookutty E401480 entity
Predicate hasWorkedInLanguageCinema P45484 FINISHED
Object Hindi cinema E31769 NE FINISHED

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: Hindi cinema | Statement: [Rasool Pookutty, hasWorkedInLanguageCinema, Hindi cinema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindi cinema
Context triple: [Rasool Pookutty, hasWorkedInLanguageCinema, Hindi cinema]
  • A. Bollywood cinema chosen
    Bollywood cinema is the mainstream Hindi-language film industry based in Mumbai, India, known for its song-and-dance musicals, melodrama, and massive cultural influence across South Asia and the global Indian diaspora.
  • B. Indian cinema
    Indian cinema is the diverse and prolific film industry of India, encompassing multiple regional and language-based film sectors and producing some of the world's highest-volume and most influential movies.
  • C. Kollywood
    Kollywood is the Tamil-language film industry based in Chennai, India, known for its prolific output of commercial and artistic cinema.
  • D. Pollywood
    Pollywood is the regional film industry based in the Indian state of Punjab, producing Punjabi-language movies and entertainment content.
  • E. Nollywood
    Nollywood is Nigeria’s prolific film industry, renowned as one of the largest movie producers in the world and a major cultural force across Africa.
  • 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: hasWorkedInLanguageCinema
Context triple: [Rasool Pookutty, hasWorkedInLanguageCinema, Hindi cinema]
  • A. hasWorkedInLanguage chosen
    Indicates that an entity has performed work or professional activities using a particular language.
  • B. hasWorkedOnFilmBy
    Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
  • C. hasFilmExperience
    Indicates that an entity has prior involvement or participation in film-related activities or productions.
  • D. hasFilmographyType
    Indicates the type or category of film-related work associated with an entity (e.g., actor, director, producer) within its filmography.
  • E. hasFilmCareer
    Indicates that an entity has been professionally involved in the film industry as a career.
  • F. None of above.

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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed4b8a08190b5f179fc583001a6 completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb00b14c819093925c109913322c completed May 10, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69e296995d388190b88ebe189dce890d completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.