Triple
T16090533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarat Chandra Bose |
E390347
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Subrata Bose
Subrata Bose was an Indian politician and parliamentarian, known for his role in West Bengal politics and as a member of the prominent Bose family.
|
E1195203
|
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: Subrata Bose | Statement: [Sarat Chandra Bose, child, Subrata Bose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subrata Bose Context triple: [Sarat Chandra Bose, child, Subrata Bose]
-
A.
Subrata Mitra
Subrata Mitra was an acclaimed Indian cinematographer best known for his pioneering visual work on Satyajit Ray’s films, which helped define the look of parallel cinema.
-
B.
Subrata Roy
Subrata Roy is an Indian businessman best known as the founder and chairman of the Sahara India Pariwar conglomerate.
-
C.
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
D.
Sanjit Bhattacharya
Sanjit Bhattacharya is a British actor known for his work in film and television and for being married to writer-comedian Meera Syal.
-
E.
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.
- 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: Subrata Bose Triple: [Sarat Chandra Bose, child, Subrata Bose]
Generated description
Subrata Bose was an Indian politician and parliamentarian, known for his role in West Bengal politics and as a member of the prominent Bose family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Subrata Bose Target entity description: Subrata Bose was an Indian politician and parliamentarian, known for his role in West Bengal politics and as a member of the prominent Bose family.
-
A.
Subrata Mitra
Subrata Mitra was an acclaimed Indian cinematographer best known for his pioneering visual work on Satyajit Ray’s films, which helped define the look of parallel cinema.
-
B.
Subrata Roy
Subrata Roy is an Indian businessman best known as the founder and chairman of the Sahara India Pariwar conglomerate.
-
C.
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
D.
Sanjit Bhattacharya
Sanjit Bhattacharya is a British actor known for his work in film and television and for being married to writer-comedian Meera Syal.
-
E.
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.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e184522b2c8190986daae6cb2d9db4 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb934b448190a486401ac6c01065 |
completed | May 10, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69ffefb0225881909982c384a5beb50a |
completed | May 10, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff01e1b808190931fff3e91939b82 |
completed | May 10, 2026, 2:40 a.m. |
Created at: April 10, 2026, 4:59 a.m.