Triple
T6263998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Das Gupta |
E140367
|
entity |
| Predicate | hasAlternativeForm |
P455
|
FINISHED |
| Object | Dasgupta |
E26363
|
NE FINISHED |
How this triple was built (2 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: Dasgupta | Statement: [Das Gupta, hasAlternativeForm, Dasgupta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasgupta Context triple: [Das Gupta, hasAlternativeForm, Dasgupta]
-
A.
Dasgupta
chosen
Dasgupta is a common Indian surname, particularly among Bengali communities, associated with numerous notable figures in academia, arts, and public life.
-
B.
Das Gupta
Das Gupta is a surname of Indian origin borne by various notable individuals across fields such as politics, arts, and academia.
-
C.
Basu
Basu is an Indian surname, particularly common among Bengali communities, that is closely related to and sometimes used as a variant of the surname Bose.
-
D.
Basu Bhattacharya
Basu Bhattacharya was an influential Indian filmmaker known for his introspective, realist films that helped shape the parallel cinema movement, particularly through nuanced explorations of middle-class marriage and relationships.
-
E.
Ghosh
Ghosh is a common Indian Bengali surname historically associated with Hindu communities, particularly in the regions of West Bengal and Bangladesh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2445061a481909487fdb04c50493b |
completed | March 24, 2026, 7:59 a.m. |
Created at: March 22, 2026, 4:25 p.m.