Triple
T16964375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | notableProducer |
P17041
|
FINISHED |
| Object |
Prakash Pandeshwar
Prakash Pandeshwar is a prominent film producer known for his significant contributions to the Tulu-language cinema industry.
|
E1244828
|
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: Prakash Pandeshwar | Statement: [Tulu cinema, notableProducer, Prakash Pandeshwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prakash Pandeshwar Context triple: [Tulu cinema, notableProducer, Prakash Pandeshwar]
-
A.
Prakash Pandeshwar
Prakash Pandeshwar is a prominent film director known for his influential work in Tulu-language cinema.
-
B.
Ghanshyam Pande
Ghanshyam Pande, later known as Swaminarayan, was a Hindu spiritual leader and reformer who founded the Swaminarayan Sampradaya in the early 19th century.
-
C.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
D.
Binod Pradhan
Binod Pradhan is an acclaimed Indian cinematographer known for his visually striking work on numerous landmark Hindi films.
-
E.
Prabhat Kumar
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
- 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: Prakash Pandeshwar Triple: [Tulu cinema, notableProducer, Prakash Pandeshwar]
Generated description
Prakash Pandeshwar is a prominent film producer known for his significant contributions to the Tulu-language cinema industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prakash Pandeshwar Target entity description: Prakash Pandeshwar is a prominent film producer known for his significant contributions to the Tulu-language cinema industry.
-
A.
Prakash Pandeshwar
chosen
Prakash Pandeshwar is a prominent film director known for his influential work in Tulu-language cinema.
-
B.
Ghanshyam Pande
Ghanshyam Pande, later known as Swaminarayan, was a Hindu spiritual leader and reformer who founded the Swaminarayan Sampradaya in the early 19th century.
-
C.
Yogendra Shukla
Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
-
D.
Binod Pradhan
Binod Pradhan is an acclaimed Indian cinematographer known for his visually striking work on numerous landmark Hindi films.
-
E.
Prabhat Kumar
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
- F. None of above.
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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a2cda88190bd574a869f0e43e9 |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b3f751c81908906ec969bef55c5 |
completed | May 10, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a011bf2d25c8190b512de2928550283 |
completed | May 10, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011c63308481908b32716eb913b9bd |
completed | May 11, 2026, 12:01 a.m. |
Created at: April 10, 2026, 5:31 a.m.