Triple
T7730074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srijit Mukherji |
E175226
|
entity |
| Predicate | name |
P16
|
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: [Srijit Mukherji, name, Srijit Mukherji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Srijit Mukherji Context triple: [Srijit Mukherji, name, 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.
Shekhar Chatterjee
Shekhar Chatterjee was an Indian actor known for his work in Bengali cinema and theatre.
-
C.
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."
-
D.
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."
-
E.
Tapen Chatterjee
Tapen Chatterjee was an Indian actor best known for his iconic portrayal of Goopy in Satyajit Ray’s beloved fantasy film "Goopy Gyne Bagha Byne" and its sequels.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52e176481908595fea4ace7a607 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.