Triple
T8528013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prosenjit Chatterjee |
E201866
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Srijit Mukherji |
E175226
|
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: Srijit Mukherji | Statement: [Prosenjit Chatterjee, workedWith, Srijit Mukherji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srijit Mukherji Context triple: [Prosenjit Chatterjee, workedWith, Srijit Mukherji]
-
A.
Srijit Mukherji
chosen
Srijit Mukherji is an acclaimed Indian filmmaker and screenwriter known for his influential and genre-diverse work in contemporary Bengali cinema.
-
B.
Jisshu Sengupta
Jisshu Sengupta is an Indian actor and television presenter best known for his work in Bengali cinema and notable roles in Hindi films and web series.
-
C.
Shekhar Chatterjee
Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
-
D.
Anupam Tripathi
Anupam Tripathi is an Indian actor best known internationally for his breakout role as Ali Abdul in the South Korean Netflix series "Squid Game."
-
E.
Sanjeev Bhaskar
Sanjeev Bhaskar is a British comedian, actor, and writer best known for his work on the sketch show "Goodness Gracious Me" and the sitcom "The Kumars at No. 42."
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe672e0588190a84328e1bf974f08 |
completed | March 31, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb71c81881909e7b9e84d2601949 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:17 p.m.