Triple
T20417476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Vil Pyar Vyar |
E500749
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Rakesh Bapat
Rakesh Bapat is an Indian film and television actor known for his roles in Hindi movies and popular TV serials.
|
E1439362
|
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: Rakesh Bapat | Statement: [Dil Vil Pyar Vyar, hasCastMember, Rakesh Bapat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rakesh Bapat Context triple: [Dil Vil Pyar Vyar, hasCastMember, Rakesh Bapat]
-
A.
Arun Athavale
Arun Athavale is an Indian actor best known for his work in Marathi theatre and films, including a notable role in the acclaimed play and film "Kanyadaan."
-
B.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
C.
Rajen Kothari
Rajen Kothari was an Indian cinematographer known for his visually expressive work in Hindi cinema, including acclaimed films like "Zubeidaa."
-
D.
Rakesh Gangwal
Rakesh Gangwal is an Indian-American billionaire airline executive and entrepreneur best known as the co-founder of IndiGo, one of India’s largest and most successful low-cost carriers.
-
E.
Arun Gupta
Arun Gupta is the child of Indian actress and screenwriter Sonali Das Gupta.
- 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: Rakesh Bapat Triple: [Dil Vil Pyar Vyar, hasCastMember, Rakesh Bapat]
Generated description
Rakesh Bapat is an Indian film and television actor known for his roles in Hindi movies and popular TV serials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rakesh Bapat Target entity description: Rakesh Bapat is an Indian film and television actor known for his roles in Hindi movies and popular TV serials.
-
A.
Arun Athavale
Arun Athavale is an Indian actor best known for his work in Marathi theatre and films, including a notable role in the acclaimed play and film "Kanyadaan."
-
B.
Rajeev Samant
Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
-
C.
Rajen Kothari
Rajen Kothari was an Indian cinematographer known for his visually expressive work in Hindi cinema, including acclaimed films like "Zubeidaa."
-
D.
Rakesh Gangwal
Rakesh Gangwal is an Indian-American billionaire airline executive and entrepreneur best known as the co-founder of IndiGo, one of India’s largest and most successful low-cost carriers.
-
E.
Arun Gupta
Arun Gupta is the child of Indian actress and screenwriter Sonali Das Gupta.
- 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_6a08b3d65a30819087ca51eb0df9e414 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b49702108190810c8e4f5a89ec36 |
completed | May 16, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b524b95c8190909c93d471e9397f |
completed | May 16, 2026, 6:19 p.m. |
Created at: April 16, 2026, 11:30 a.m.