Triple
T10807557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saha |
E255007
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gautam Saha
Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
|
E896163
|
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: Gautam Saha | Statement: [Saha, hasNotableBearer, Gautam Saha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gautam Saha Context triple: [Saha, hasNotableBearer, Gautam Saha]
-
A.
Sourav Pal
Sourav Pal is an accomplished Indian chemist and academic known for his contributions to theoretical and computational chemistry.
-
B.
Santosh Dutta
Santosh Dutta was an Indian character actor best remembered for his iconic comic role as the eccentric king of Shundi in Satyajit Ray’s classic Bengali fantasy film "Goopy Gyne Bagha Byne."
-
C.
Anirban Bhattacharya
Anirban Bhattacharya is an Indian actor and theatre director, best known for his acclaimed work in Bengali cinema and stage productions.
-
D.
Parag Das
Parag Das is a former Indian cricketer best known for representing Assam as a top-order batsman in domestic cricket.
-
E.
Sandeep Das
Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
- 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: Gautam Saha Triple: [Saha, hasNotableBearer, Gautam Saha]
Generated description
Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gautam Saha Target entity description: Gautam Saha is a relatively obscure individual about whom no widely known public information is available.
-
A.
Sourav Pal
Sourav Pal is an accomplished Indian chemist and academic known for his contributions to theoretical and computational chemistry.
-
B.
Santosh Dutta
Santosh Dutta was an Indian character actor best remembered for his iconic comic role as the eccentric king of Shundi in Satyajit Ray’s classic Bengali fantasy film "Goopy Gyne Bagha Byne."
-
C.
Anirban Bhattacharya
Anirban Bhattacharya is an Indian actor and theatre director, best known for his acclaimed work in Bengali cinema and stage productions.
-
D.
Parag Das
Parag Das is a former Indian cricketer best known for representing Assam as a top-order batsman in domestic cricket.
-
E.
Sandeep Das
Sandeep Das is an acclaimed Indian tabla virtuoso and composer known for his cross-cultural collaborations and performances with leading world music ensembles.
- 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_69e2d6a7b8c481908249acfffc97b08a |
completed | April 18, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69e2fab58f588190ae2d33f32e71333b |
completed | April 18, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e317809c0881909e793db965194014 |
completed | April 18, 2026, 5:32 a.m. |
Created at: April 8, 2026, 9:18 p.m.