Triple
T10213300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rangeela |
E242381
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Achyut Potdar
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
|
E860234
|
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: Achyut Potdar | Statement: [Rangeela, castMember, Achyut Potdar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Achyut Potdar Context triple: [Rangeela, castMember, Achyut Potdar]
-
A.
Mohan Agashe
Mohan Agashe is an Indian actor and psychiatrist known for his acclaimed performances in parallel cinema and mainstream Hindi and Marathi films.
-
B.
Sunil Sukthankar
Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
-
C.
Shankar Patil
Shankar Patil is a prominent Marathi playwright known for his influential contributions to contemporary Marathi theatre.
-
D.
Alok Deshpande
Alok Deshpande is an entrepreneur best known as a co-founder of the location-based social networking startup Loopt.
-
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: Achyut Potdar Triple: [Rangeela, castMember, Achyut Potdar]
Generated description
Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Achyut Potdar Target entity description: Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
-
A.
Mohan Agashe
Mohan Agashe is an Indian actor and psychiatrist known for his acclaimed performances in parallel cinema and mainstream Hindi and Marathi films.
-
B.
Sunil Sukthankar
Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
-
C.
Shankar Patil
Shankar Patil is a prominent Marathi playwright known for his influential contributions to contemporary Marathi theatre.
-
D.
Alok Deshpande
Alok Deshpande is an entrepreneur best known as a co-founder of the location-based social networking startup Loopt.
-
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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa24efc081909714d98943543283 |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d79490a3c48190a58bff2f63e5873d |
completed | April 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69d79a5c372c8190bdc98efd54d19e13 |
completed | April 9, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d79af4c5e48190a0f36f689fa5208c |
completed | April 9, 2026, 12:26 p.m. |
Created at: April 6, 2026, 11:03 a.m.