Triple
T16183670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangal |
E392744
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Piyush Gupta
Piyush Gupta is an Indian screenwriter best known for co-writing the critically acclaimed and commercially successful sports drama film "Dangal."
|
E1203569
|
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: Piyush Gupta | Statement: [Dangal, screenwriter, Piyush Gupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piyush Gupta Context triple: [Dangal, screenwriter, Piyush Gupta]
-
A.
Piyush Kanojia
Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
-
B.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
-
C.
Rahul Malhotra
Rahul Malhotra is the responsible and kind-hearted guardian of his late sister’s mischievous children in the Bollywood film "Hum Hain Rahi Pyar Ke."
-
D.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
E.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
- 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: Piyush Gupta Triple: [Dangal, screenwriter, Piyush Gupta]
Generated description
Piyush Gupta is an Indian screenwriter best known for co-writing the critically acclaimed and commercially successful sports drama film "Dangal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piyush Gupta Target entity description: Piyush Gupta is an Indian screenwriter best known for co-writing the critically acclaimed and commercially successful sports drama film "Dangal."
-
A.
Piyush Kanojia
Piyush Kanojia is an Indian music composer best known for his work on the film "Gandhi, My Father."
-
B.
Prashant Damle
Prashant Damle is a renowned Indian actor and comedian celebrated for his prolific work in Marathi theatre, television, and films.
-
C.
Rahul Malhotra
Rahul Malhotra is the responsible and kind-hearted guardian of his late sister’s mischievous children in the Bollywood film "Hum Hain Rahi Pyar Ke."
-
D.
Sanjay Jain
Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
-
E.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017a7223c81909f04144bdffb22ff |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a00195984c881909483fbf2afb518d1 |
completed | May 10, 2026, 5:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0019cbdc64819092184420bd4fd8ed |
completed | May 10, 2026, 5:38 a.m. |
Created at: April 10, 2026, 5:02 a.m.