Triple
T21943921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paan Singh Tomar |
E541888
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object |
Sanjay Chouhan
Sanjay Chouhan is an Indian screenwriter best known for co-writing the acclaimed biographical film "Paan Singh Tomar."
|
E1511766
|
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 Chouhan | Statement: [Paan Singh Tomar, screenplayBy, Sanjay Chouhan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay Chouhan Context triple: [Paan Singh Tomar, screenplayBy, Sanjay Chouhan]
-
A.
Sanjay Mishra
Sanjay Mishra is an Indian film and television actor known for his versatile character roles and comic performances in Hindi cinema.
-
B.
Vijay Kumar Choudhary
Vijay Kumar Choudhary is an Indian politician from Bihar who has held key ministerial portfolios in the state government, including finance.
-
C.
Rajeev Shukla
Rajeev Shukla is an Indian politician, journalist, and cricket administrator known for his long-standing involvement with the Board of Control for Cricket in India (BCCI) and the Indian Premier League (IPL).
-
D.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
E.
Alpesh Chauhan
Alpesh Chauhan is a British conductor known for his dynamic interpretations and leadership with major orchestras in the UK and abroad.
- 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 Chouhan Triple: [Paan Singh Tomar, screenplayBy, Sanjay Chouhan]
Generated description
Sanjay Chouhan is an Indian screenwriter best known for co-writing the acclaimed biographical film "Paan Singh Tomar."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjay Chouhan Target entity description: Sanjay Chouhan is an Indian screenwriter best known for co-writing the acclaimed biographical film "Paan Singh Tomar."
-
A.
Sanjay Mishra
Sanjay Mishra is an Indian film and television actor known for his versatile character roles and comic performances in Hindi cinema.
-
B.
Vijay Kumar Choudhary
Vijay Kumar Choudhary is an Indian politician from Bihar who has held key ministerial portfolios in the state government, including finance.
-
C.
Rajeev Shukla
Rajeev Shukla is an Indian politician, journalist, and cricket administrator known for his long-standing involvement with the Board of Control for Cricket in India (BCCI) and the Indian Premier League (IPL).
-
D.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
-
E.
Alpesh Chauhan
Alpesh Chauhan is a British conductor known for his dynamic interpretations and leadership with major orchestras in the UK and abroad.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d6b79808190ba87aedd1ada86e3 |
completed | May 18, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_6a0a6df4b3908190800df70ea35c87d5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6e787abc8190b192770e4d3e8daa |
completed | May 18, 2026, 1:42 a.m. |
Created at: April 16, 2026, 7:56 p.m.