Triple
T20351621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saat Pake Bandha |
E496024
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Hemanta Mukherjee |
—
|
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: Hemanta Mukherjee | Statement: [Saat Pake Bandha, musicBy, Hemanta Mukherjee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hemanta Mukherjee Context triple: [Saat Pake Bandha, musicBy, Hemanta Mukherjee]
-
A.
Hemanta Mukhopadhyay
chosen
Hemanta Mukhopadhyay was a legendary Indian playback singer and music director, especially renowned for his work in Bengali and Hindi cinema and his contributions to Rabindra Sangeet.
-
B.
Jnanesh Mukherjee
Jnanesh Mukherjee is an Indian actor known for his work in Bengali cinema and television.
-
C.
Swapan Mukherjee
Swapan Mukherjee is an Indian actor best known for his role in Satyajit Ray’s acclaimed film "Apur Sansar" (The World of Apu).
-
D.
Bibhu Bhattacharya
Bibhu Bhattacharya was an Indian actor best known for playing the character Jatayu in Satyajit Ray’s Feluda series of films and television adaptations.
-
E.
Pradip Bose
Pradip Bose is a computer engineer and researcher known for his contributions to microprocessor architecture and performance analysis, particularly at IBM.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
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.