Triple
T20351319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akaler Sandhane |
E496016
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Kalyan Chatterjee |
—
|
NE NERFINISHED |
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: Kalyan Chatterjee | Statement: [Akaler Sandhane, stars, Kalyan Chatterjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalyan Chatterjee Context triple: [Akaler Sandhane, stars, Kalyan Chatterjee]
-
A.
Kalyan Chatterjee
chosen
Kalyan Chatterjee is an Indian actor known for his work in Bengali cinema and theatre.
-
B.
Basu Chatterjee
Basu Chatterjee was an acclaimed Indian film director known for his gentle, middle-class-centric storytelling and key contributions to the Hindi New Wave and light-hearted social comedies of the 1970s and 1980s.
-
C.
Barin Ghosh
Barin Ghosh, also known as Barindra Kumar Ghosh, was an Indian revolutionary associated with the early nationalist and anti-colonial movement against British rule.
-
D.
Shekhar Chatterjee
Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
-
E.
Subrata Chatterjee
Subrata Chatterjee is an Indian actor known for his work in Bengali cinema, including roles in classic films of the 1960s and 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784f8ff48190a070888786f6a989 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.