Triple
T20417489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Vil Pyar Vyar |
E500749
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Sanjay Mishra
Sanjay Mishra is an Indian film and television actor known for his versatile character roles and comic performances in Hindi cinema.
|
E1442271
|
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: Sanjay Mishra | Statement: [Dil Vil Pyar Vyar, hasCastMember, Sanjay Mishra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay Mishra Context triple: [Dil Vil Pyar Vyar, hasCastMember, Sanjay Mishra]
-
A.
Vinay Mishra
Vinay Mishra is an Indian politician serving as a Member of the Legislative Assembly (MLA) from the Dwarka constituency in Delhi.
-
B.
Ashok Mishra
Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
-
C.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
D.
Sanjay Verma
Sanjay Verma is a film editor known for his work on the Hindi movie "Dil Vil Pyar Vyar."
-
E.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
- 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: Sanjay Mishra Triple: [Dil Vil Pyar Vyar, hasCastMember, Sanjay Mishra]
Generated description
Sanjay Mishra is an Indian film and television actor known for his versatile character roles and comic performances in Hindi cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjay Mishra Target entity description: Sanjay Mishra is an Indian film and television actor known for his versatile character roles and comic performances in Hindi cinema.
-
A.
Vinay Mishra
Vinay Mishra is an Indian politician serving as a Member of the Legislative Assembly (MLA) from the Dwarka constituency in Delhi.
-
B.
Ashok Mishra
Ashok Mishra is an Indian screenwriter known for his work on films such as "Welcome to Sajjanpur."
-
C.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
D.
Sanjay Verma
Sanjay Verma is a film editor known for his work on the Hindi movie "Dil Vil Pyar Vyar."
-
E.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
- 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_6a08c572fa648190b1b7644f34702b1f |
completed | May 16, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_6a08c648e35881908c480b0afa383422 |
completed | May 16, 2026, 7:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c6c6f9608190bdbcdd58f6b14008 |
completed | May 16, 2026, 7:34 p.m. |
Created at: April 16, 2026, 11:30 a.m.