Triple
T10401822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rang De Basanti |
E245166
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Sharman Joshi
Sharman Joshi is an Indian film and theatre actor known for his versatile performances in Hindi cinema, including notable roles in acclaimed films like "3 Idiots" and "Golmaal."
|
E861721
|
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: Sharman Joshi | Statement: [Rang De Basanti, castMember, Sharman Joshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharman Joshi Context triple: [Rang De Basanti, castMember, Sharman Joshi]
-
A.
Sam Joshi
Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
-
B.
Shankar Kistaiya
Shankar Kistaiya was one of the co-conspirators involved in the plot surrounding Narayan Apte, a key figure in the assassination of Mahatma Gandhi.
-
C.
Sharman Divono
Sharman Divono is an American science fiction writer and television scriptwriter, known for her work on animated series and genre fiction.
-
D.
Bobby Bedi
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
-
E.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
- 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: Sharman Joshi Triple: [Rang De Basanti, castMember, Sharman Joshi]
Generated description
Sharman Joshi is an Indian film and theatre actor known for his versatile performances in Hindi cinema, including notable roles in acclaimed films like "3 Idiots" and "Golmaal."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharman Joshi Target entity description: Sharman Joshi is an Indian film and theatre actor known for his versatile performances in Hindi cinema, including notable roles in acclaimed films like "3 Idiots" and "Golmaal."
-
A.
Sam Joshi
Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
-
B.
Shankar Kistaiya
Shankar Kistaiya was one of the co-conspirators involved in the plot surrounding Narayan Apte, a key figure in the assassination of Mahatma Gandhi.
-
C.
Sharman Divono
Sharman Divono is an American science fiction writer and television scriptwriter, known for her work on animated series and genre fiction.
-
D.
Bobby Bedi
Bobby Bedi is an Indian film producer known for backing acclaimed and ambitious Hindi films, including historical and socially themed projects.
-
E.
Sanjay Suri
Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbd13c888190b3a79a9aacb5291e |
completed | April 9, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:08 p.m.