Triple
T20351275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ek Din Pratidin |
E496015
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Satya Bannerjee
Satya Bannerjee was an Indian actor known for his work in Bengali cinema and theatre.
|
E1431029
|
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: Satya Bannerjee | Statement: [Ek Din Pratidin, castMember, Satya Bannerjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satya Bannerjee Context triple: [Ek Din Pratidin, castMember, Satya Bannerjee]
-
A.
Sanjay Banerji
Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
-
B.
Kanu Banerjee
Kanu Banerjee was an Indian actor best known for playing Apu’s father, Harihar Ray, in Satyajit Ray’s acclaimed Apu Trilogy.
-
C.
Vijay Bhalla
Vijay Bhalla is a person notable enough to be recognized as a bearer of the surname Bhalla, though specific widely known public details about him are not clearly established.
-
D.
Ash Mukherjee
Ash Mukherjee is a character in the British television drama series "It's a Sin," which explores the lives of young gay men during the 1980s AIDS crisis in London.
-
E.
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).
- 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: Satya Bannerjee Triple: [Ek Din Pratidin, castMember, Satya Bannerjee]
Generated description
Satya Bannerjee was an Indian actor known for his work in Bengali cinema and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Satya Bannerjee Target entity description: Satya Bannerjee was an Indian actor known for his work in Bengali cinema and theatre.
-
A.
Sanjay Banerji
Sanjay Banerji is an economist and academic recognized for his scholarly contributions associated with the Delhi School of Economics.
-
B.
Kanu Banerjee
Kanu Banerjee was an Indian actor best known for playing Apu’s father, Harihar Ray, in Satyajit Ray’s acclaimed Apu Trilogy.
-
C.
Vijay Bhalla
Vijay Bhalla is a person notable enough to be recognized as a bearer of the surname Bhalla, though specific widely known public details about him are not clearly established.
-
D.
Ash Mukherjee
Ash Mukherjee is a character in the British television drama series "It's a Sin," which explores the lives of young gay men during the 1980s AIDS crisis in London.
-
E.
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).
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883e66df48190a0936733c650d87e |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08853634b48190b6cc16e68ed8e39e |
completed | May 16, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0885bfe3588190916a15b060089de9 |
completed | May 16, 2026, 2:57 p.m. |
Created at: April 16, 2026, 11:24 a.m.