Triple
T7660251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tollywood |
E173485
|
entity |
| Predicate | hasNotableActor |
P17435
|
FINISHED |
| Object | Prosenjit Chatterjee |
E201866
|
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: Prosenjit Chatterjee | Statement: [Tollywood, hasNotableActor, Prosenjit Chatterjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prosenjit Chatterjee Context triple: [Tollywood, hasNotableActor, Prosenjit Chatterjee]
-
A.
Prosenjit Chatterjee
chosen
Prosenjit Chatterjee is a leading Indian actor and producer, widely regarded as one of the most prominent and influential stars in contemporary Bengali cinema.
-
B.
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.
-
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.
Amar Lahiri
Amar Lahiri is the father of Pulitzer Prize–winning author Jhumpa Lahiri and a key figure in her Bengali-Indian immigrant family background.
-
E.
Shekhar Chatterjee
Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701a47a5c8190867e39f552c86787 |
completed | March 27, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b14b6848190892a262903d78b79 |
completed | March 29, 2026, 3:23 a.m. |
Created at: March 27, 2026, 3:59 p.m.