Triple
T7122180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalsaghar |
E165973
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Chhabi Biswas |
E183838
|
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: Chhabi Biswas | Statement: [Jalsaghar, stars, Chhabi Biswas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chhabi Biswas Context triple: [Jalsaghar, stars, Chhabi Biswas]
-
A.
Chhabi Biswas
chosen
Chhabi Biswas was a renowned Indian Bengali film and stage actor, celebrated for his powerful character roles and collaborations with directors like Satyajit Ray.
-
B.
Tapan Sinha
Tapan Sinha was a renowned Indian film director celebrated for his socially conscious and critically acclaimed works in Bengali cinema.
-
C.
Mohan Rakesh
Mohan Rakesh was a pioneering Indian playwright and Hindi literary figure, widely regarded as a key architect of modern Indian theatre.
-
D.
Nira Benegal
Nira Benegal is the wife of acclaimed Indian film director and screenwriter Shyam Benegal.
-
E.
Ajay Ghosh
Ajay Ghosh is an Indian film actor known for his character roles in Telugu cinema and appearances in popular pan-Indian films.
- 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_69c6888227bc8190a1394679e3116f90 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6493fd88190b0c066a2ad74917c |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a32e8098819090b88fc920416f6b |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:44 p.m.