Triple
T20417485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Vil Pyar Vyar |
E500749
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Rati Agnihotri
Rati Agnihotri is an Indian actress known for her work in Hindi and South Indian cinema, particularly popular in the 1980s.
|
E1462834
|
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: Rati Agnihotri | Statement: [Dil Vil Pyar Vyar, hasCastMember, Rati Agnihotri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rati Agnihotri Context triple: [Dil Vil Pyar Vyar, hasCastMember, Rati Agnihotri]
-
A.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
B.
Nandita Puri
Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
-
C.
Nadira Babbar
Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
-
D.
Nina Dutt
Nina Dutt is the daughter of legendary Indian filmmaker and actor Guru Dutt.
-
E.
Shobha Kapoor
Shobha Kapoor is an Indian television and film producer and the co-founder of Balaji Telefilms, one of India’s leading entertainment production companies.
- 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: Rati Agnihotri Triple: [Dil Vil Pyar Vyar, hasCastMember, Rati Agnihotri]
Generated description
Rati Agnihotri is an Indian actress known for her work in Hindi and South Indian cinema, particularly popular in the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rati Agnihotri Target entity description: Rati Agnihotri is an Indian actress known for her work in Hindi and South Indian cinema, particularly popular in the 1980s.
-
A.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
B.
Nandita Puri
Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
-
C.
Nadira Babbar
Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
-
D.
Nina Dutt
Nina Dutt is the daughter of legendary Indian filmmaker and actor Guru Dutt.
-
E.
Shobha Kapoor
Shobha Kapoor is an Indian television and film producer and the co-founder of Balaji Telefilms, one of India’s leading entertainment production companies.
- 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_6a093b3c527c8190a7f3da5b71ca5e51 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a09410a09248190a1d96da0c04ce2a7 |
completed | May 17, 2026, 4:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09429e1c5c8190b0778b963f1446e6 |
completed | May 17, 2026, 4:22 a.m. |
Created at: April 16, 2026, 11:30 a.m.