Triple

T22859014
Position Surface form Disambiguated ID Type / Status
Subject Vyjayanthimala E566858 entity
Predicate BollywoodDebutFilm P12418 FINISHED
Object Bahaar NE NERFINISHED

How this triple was built (4 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: Bahaar | Statement: [Vyjayanthimala, BollywoodDebutFilm, Bahaar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahaar
Context triple: [Vyjayanthimala, BollywoodDebutFilm, Bahaar]
  • A. Dîlan
    Dîlan is a given name commonly used in Kurdish and some other Middle Eastern cultures, often associated with meanings related to the heart, love, or celebration.
  • B. Baharistan
    Baharistan is a celebrated Persian literary work, often compared to Saadi’s Gulistan, known for its didactic stories and poetic prose.
  • C. Rabi
    Rabi is a surname most notably associated with Isidor Isaac Rabi, the Nobel Prize–winning physicist who developed the molecular beam magnetic resonance method.
  • D. Bahar
    Bahar is a small city in western Iran known for its agricultural surroundings and location within Hamedan Province.
  • E. Basant
    Basant is a 1942 Hindi film notable for featuring legendary actress Madhubala in one of her earliest screen appearances as a child artist.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bahaar
Target entity description: Bahaar is a 1951 Hindi-language romantic musical film best known for marking legendary actress Vyjayanthimala’s entry into Bollywood.
  • A. Dîlan
    Dîlan is a given name commonly used in Kurdish and some other Middle Eastern cultures, often associated with meanings related to the heart, love, or celebration.
  • B. Baharistan
    Baharistan is a celebrated Persian literary work, often compared to Saadi’s Gulistan, known for its didactic stories and poetic prose.
  • C. Rabi
    Rabi is a surname most notably associated with Isidor Isaac Rabi, the Nobel Prize–winning physicist who developed the molecular beam magnetic resonance method.
  • D. Bahar
    Bahar is a small city in western Iran known for its agricultural surroundings and location within Hamedan Province.
  • E. Basant
    Basant is a 1942 Hindi film notable for featuring legendary actress Madhubala in one of her earliest screen appearances as a child artist.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BollywoodDebutFilm
Context triple: [Vyjayanthimala, BollywoodDebutFilm, Bahaar]
  • A. featureFilmDebut
    Indicates that a work marks an entity’s first appearance or role in a feature-length film.
  • B. filmDebutIn
    Indicates the first film in which a person appeared or participated, marking their debut in cinema.
  • C. leadActorDebutFilmFor
    Indicates that a person’s first film as a lead actor is the specified movie.
  • D. filmDebut chosen
    Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
  • E. filmIndustryDebut
    Indicates the event or point in time when an entity first appears or participates in the film industry, such as through a first film role, production, or related professional activity.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebf1838819092b2b99205a2192f completed April 29, 2026, 3:45 a.m.
PD Predicate disambiguation batch_69eed2d507c08190895ed971af0fc755 completed April 27, 2026, 3:07 a.m.
Created at: April 17, 2026, 3:37 p.m.