Triple
T20417472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Vil Pyar Vyar |
E500749
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Namit Das
Namit Das is an Indian actor and singer known for his work in Hindi films, television, and web series.
|
E1428954
|
NE FINISHED |
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: Namit Das | Statement: [Dil Vil Pyar Vyar, hasCastMember, Namit Das]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namit Das Context triple: [Dil Vil Pyar Vyar, hasCastMember, Namit Das]
-
A.
Boria Majumdar
Boria Majumdar is an Indian sports historian, journalist, and author known for his extensive writings on cricket and its cultural and political significance.
-
B.
Ramani Sengupta
Ramani Sengupta is an Indian actress best known for her role in Satyajit Ray’s acclaimed film "Aparajito."
-
C.
Soma Basu
Soma Basu is an Indian journalist and writer known for her investigative reporting and socially engaged commentary.
-
D.
Shantanu Moitra
Shantanu Moitra is an Indian film composer and music director best known for his work in Hindi cinema, including acclaimed scores for films like "Parineeta," "3 Idiots," and "Lage Raho Munna Bhai."
-
E.
Roma Dasgupta
Roma Dasgupta, better known by her stage name Suchitra Sen, was a legendary Indian Bengali film actress celebrated for her iconic performances and enduring screen presence.
- 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: Namit Das Triple: [Dil Vil Pyar Vyar, hasCastMember, Namit Das]
Generated description
Namit Das is an Indian actor and singer known for his work in Hindi films, television, and web series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namit Das Target entity description: Namit Das is an Indian actor and singer known for his work in Hindi films, television, and web series.
-
A.
Boria Majumdar
Boria Majumdar is an Indian sports historian, journalist, and author known for his extensive writings on cricket and its cultural and political significance.
-
B.
Ramani Sengupta
Ramani Sengupta is an Indian actress best known for her role in Satyajit Ray’s acclaimed film "Aparajito."
-
C.
Soma Basu
Soma Basu is an Indian journalist and writer known for her investigative reporting and socially engaged commentary.
-
D.
Shantanu Moitra
Shantanu Moitra is an Indian film composer and music director best known for his work in Hindi cinema, including acclaimed scores for films like "Parineeta," "3 Idiots," and "Lage Raho Munna Bhai."
-
E.
Roma Dasgupta
Roma Dasgupta, better known by her stage name Suchitra Sen, was a legendary Indian Bengali film actress celebrated for her iconic performances and enduring screen presence.
- F. None of above. chosen
Provenance (5 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b284bb8819090f76ec27116c619 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.