Triple
T10807556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saha |
E255007
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
|
E895910
|
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 Saha | Statement: [Saha, hasNotableBearer, Subrata Saha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subrata Saha Context triple: [Saha, hasNotableBearer, Subrata Saha]
-
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.
Bijon Bhattacharya
Bijon Bhattacharya was a prominent Indian playwright and actor associated with the Indian People's Theatre Association and known for his socially conscious Bengali dramas.
-
C.
Shiladitya Mukhopadhyaya
Shiladitya Mukhopadhyaya is an Indian entrepreneur and tech professional best known as the husband of acclaimed playback singer Shreya Ghoshal.
-
D.
Sanjib Bhattacharyya
Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
-
E.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
- 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 Saha Triple: [Saha, hasNotableBearer, Subrata Saha]
Generated description
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Subrata Saha Target entity description: Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
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.
Bijon Bhattacharya
Bijon Bhattacharya was a prominent Indian playwright and actor associated with the Indian People's Theatre Association and known for his socially conscious Bengali dramas.
-
C.
Shiladitya Mukhopadhyaya
Shiladitya Mukhopadhyaya is an Indian entrepreneur and tech professional best known as the husband of acclaimed playback singer Shreya Ghoshal.
-
D.
Sanjib Bhattacharyya
Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
-
E.
Sanjib Basu
Sanjib Basu is a statistician known for his contributions to Bayesian methods and statistical theory.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b506488190921e6a1f4168dd9e |
completed | April 9, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23b5e37588190be7a7b571f5565c7 |
completed | April 17, 2026, 1:53 p.m. |
| NEDg | Description generation | batch_69e2453f6f008190847298f4006290f7 |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e288b1d64c8190b31313634b706d0a |
completed | April 17, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:18 p.m.