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.