Triple
T7730288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apur Sansar |
E175230
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Swapan Mukherjee
Swapan Mukherjee is an Indian actor best known for his role in Satyajit Ray’s acclaimed film "Apur Sansar" (The World of Apu).
|
E691235
|
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: Swapan Mukherjee | Statement: [Apur Sansar, stars, Swapan Mukherjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swapan Mukherjee Context triple: [Apur Sansar, stars, Swapan Mukherjee]
-
A.
Jnanesh Mukherjee
Jnanesh Mukherjee is an Indian actor known for his work in Bengali cinema and television.
-
B.
Sarbajit Banerjee
Sarbajit Banerjee is a chemist known for his research in materials chemistry, particularly on phase transitions and electronic properties of transition metal oxides.
-
C.
Subrata Chatterjee
Subrata Chatterjee is an Indian actor known for his work in Bengali cinema, including roles in classic films of the 1960s and 1970s.
-
D.
Surajit Chaudhuri
Surajit Chaudhuri is a prominent computer scientist known for his influential research in database systems and data management, particularly in query optimization and data analytics.
-
E.
Bibhu Bhattacharya
Bibhu Bhattacharya was an Indian actor best known for playing the character Jatayu in Satyajit Ray’s Feluda series of films and television adaptations.
- 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: Swapan Mukherjee Triple: [Apur Sansar, stars, Swapan Mukherjee]
Generated description
Swapan Mukherjee is an Indian actor best known for his role in Satyajit Ray’s acclaimed film "Apur Sansar" (The World of Apu).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swapan Mukherjee Target entity description: Swapan Mukherjee is an Indian actor best known for his role in Satyajit Ray’s acclaimed film "Apur Sansar" (The World of Apu).
-
A.
Jnanesh Mukherjee
Jnanesh Mukherjee is an Indian actor known for his work in Bengali cinema and television.
-
B.
Sarbajit Banerjee
Sarbajit Banerjee is a chemist known for his research in materials chemistry, particularly on phase transitions and electronic properties of transition metal oxides.
-
C.
Subrata Chatterjee
Subrata Chatterjee is an Indian actor known for his work in Bengali cinema, including roles in classic films of the 1960s and 1970s.
-
D.
Surajit Chaudhuri
Surajit Chaudhuri is a prominent computer scientist known for his influential research in database systems and data management, particularly in query optimization and data analytics.
-
E.
Bibhu Bhattacharya
Bibhu Bhattacharya was an Indian actor best known for playing the character Jatayu in Satyajit Ray’s Feluda series of films and television adaptations.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9721e3d488190a7e7d0f0e8d0b97f |
completed | March 29, 2026, 6:40 p.m. |
| NEDg | Description generation | batch_69c972bf56ec81908d7d125f2bf2f30f |
completed | March 29, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9736d1be881908e3751d815513b0b |
completed | March 29, 2026, 6:46 p.m. |
Created at: March 27, 2026, 4:06 p.m.