Triple

T5737992
Position Surface form Disambiguated ID Type / Status
Subject Aayega Aanewala E126545 entity
Predicate partOfFilm P22734 FINISHED
Object Mahal
Mahal is a landmark 1949 Indian Hindi-language psychological horror film, celebrated for pioneering the Bollywood gothic romance genre and launching Madhubala to stardom.
E545511 NE FINISHED

How this triple was built (5 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: Mahal | Statement: [Aayega Aanewala, partOfFilm, Mahal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahal
Context triple: [Aayega Aanewala, partOfFilm, Mahal]
  • A. Mahal
    Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
  • B. Mahala
    Mahala is the given first name of Mahalia Jackson, the legendary American gospel singer known as the “Queen of Gospel.”
  • C. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • D. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mahal
Triple: [Aayega Aanewala, partOfFilm, Mahal]
Generated description
Mahal is a landmark 1949 Indian Hindi-language psychological horror film, celebrated for pioneering the Bollywood gothic romance genre and launching Madhubala to stardom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mahal
Target entity description: Mahal is a landmark 1949 Indian Hindi-language psychological horror film, celebrated for pioneering the Bollywood gothic romance genre and launching Madhubala to stardom.
  • A. Mahal
    Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
  • B. Mahala
    Mahala is the given first name of Mahalia Jackson, the legendary American gospel singer known as the “Queen of Gospel.”
  • C. Luisita
    Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
  • D. Makili
    Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfFilm
Context triple: [Aayega Aanewala, partOfFilm, Mahal]
  • A. partOfFilmographyOf
    Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
  • B. includedInFilm chosen
    Indicates that one entity (such as a scene, segment, or element) is contained within or forms part of a particular film.
  • C. basedInFilm
    Indicates that something (such as a character, event, or work) is situated, set, or primarily located within the context or universe of a particular film.
  • D. subjectOfFilm
    Indicates that a person, character, or topic is the main focus or central topic depicted in a particular film.
  • E. filmAssociatedWith
    Indicates a general relationship or connection between a film and another entity, such as a person, organization, event, or work.
  • F. None of above.

Provenance (6 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255c8c308190821f968ec41c5078 completed March 22, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e10e4d08190bfb8162d53cfb443 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08e02cfd88190b77a246001cbf681 completed March 23, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69c08eb783a08190840f22ed0128e7a9 completed March 23, 2026, 12:52 a.m.
PD Predicate disambiguation batch_69c021c8195481909419808b002628aa completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:47 p.m.