Triple
T16964373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulu cinema |
E411505
|
entity |
| Predicate | notableDirector |
P4744
|
FINISHED |
| Object |
Ranjan Raghu Shetty
Ranjan Raghu Shetty is a prominent film director known for his influential work in Tulu-language cinema.
|
E1247472
|
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: Ranjan Raghu Shetty | Statement: [Tulu cinema, notableDirector, Ranjan Raghu Shetty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ranjan Raghu Shetty Context triple: [Tulu cinema, notableDirector, Ranjan Raghu Shetty]
-
A.
Upendra Shetty
Upendra Shetty is a prominent film director known for his significant contributions to Tulu-language cinema.
-
B.
Arun Shridhar Vaidya
Arun Shridhar Vaidya was an Indian Army general who served as Chief of Army Staff and played a central role in major counterinsurgency operations in the 1980s.
-
C.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
D.
V. A. Kamath
V. A. Kamath was an Indian military officer who led the operation that resulted in India’s capture of the coastal enclaves of Daman and Diu from Portuguese control.
-
E.
Mahesh Elkunchwar
Mahesh Elkunchwar is a prominent Indian dramatist acclaimed for his innovative and influential contributions to modern Marathi theatre.
- 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: Ranjan Raghu Shetty Triple: [Tulu cinema, notableDirector, Ranjan Raghu Shetty]
Generated description
Ranjan Raghu Shetty is a prominent film director known for his influential work in Tulu-language cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ranjan Raghu Shetty Target entity description: Ranjan Raghu Shetty is a prominent film director known for his influential work in Tulu-language cinema.
-
A.
Upendra Shetty
Upendra Shetty is a prominent film director known for his significant contributions to Tulu-language cinema.
-
B.
Arun Shridhar Vaidya
Arun Shridhar Vaidya was an Indian Army general who served as Chief of Army Staff and played a central role in major counterinsurgency operations in the 1980s.
-
C.
Pavun Shetty
Pavun Shetty is a television producer best known for his executive production work on the hit superhero series "The Boys."
-
D.
V. A. Kamath
V. A. Kamath was an Indian military officer who led the operation that resulted in India’s capture of the coastal enclaves of Daman and Diu from Portuguese control.
-
E.
Mahesh Elkunchwar
Mahesh Elkunchwar is a prominent Indian dramatist acclaimed for his innovative and influential contributions to modern Marathi theatre.
- 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_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_6a01232d6360819080ac00b8e56f098d |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a01244a9a1881909a2f0b8394b14cf8 |
completed | May 11, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0124786cc08190881d19c4a1e5a178 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 10, 2026, 5:31 a.m.