Triple
T17632149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakespeare-Wallah |
E430003
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Subrata Mitra |
—
|
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: Subrata Mitra | Statement: [Shakespeare-Wallah, cinematographyBy, Subrata Mitra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subrata Mitra Context triple: [Shakespeare-Wallah, cinematographyBy, Subrata Mitra]
-
A.
Subrata Mitra
chosen
Subrata Mitra was an acclaimed Indian cinematographer best known for his pioneering visual work on Satyajit Ray’s films, which helped define the look of parallel cinema.
-
B.
Subrata Saha
Subrata Saha is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Saha.
-
C.
Subrata Roy
Subrata Roy is an Indian businessman best known as the founder and chairman of the Sahara India Pariwar conglomerate.
-
D.
Subrata Bose
Subrata Bose was an Indian politician and parliamentarian, known for his role in West Bengal politics and as a member of the prominent Bose family.
-
E.
Sanjib Bhattacharyya
Sanjib Bhattacharyya is an economist and academic recognized as a notable scholar associated with the Delhi School of Economics.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc276b48190923f1869ebfe4400 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.