Triple
T22599523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreya Ghoshal |
E574774
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Shiladitya Mukhopadhyaya |
—
|
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: Shiladitya Mukhopadhyaya | Statement: [Shreya Ghoshal, spouse, Shiladitya Mukhopadhyaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiladitya Mukhopadhyaya Context triple: [Shreya Ghoshal, spouse, Shiladitya Mukhopadhyaya]
-
A.
Shiladitya Mukhopadhyaya
chosen
Shiladitya Mukhopadhyaya is an Indian entrepreneur and tech professional best known as the husband of acclaimed playback singer Shreya Ghoshal.
-
B.
Sabyasachi Saha
Sabyasachi Saha is an individual notable enough to be specifically distinguished as a bearer of the surname Saha.
-
C.
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
D.
Pijush Bandyopadhyay
Pijush Bandyopadhyay is a Bangladeshi actor, director, and cultural activist known for his work in film, television, and theatre.
-
E.
Bikash Bhattacharjee
Bikash Bhattacharjee is an Indian actor known for his roles in Bengali cinema.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626b5f5481909a104088d1c96720 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.