Triple
T21944174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angrezi Medium |
E541893
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dinesh Vijan |
—
|
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: Dinesh Vijan | Statement: [Angrezi Medium, producer, Dinesh Vijan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinesh Vijan Context triple: [Angrezi Medium, producer, Dinesh Vijan]
-
A.
Dinesh Vijan
chosen
Dinesh Vijan is an Indian film producer and director, best known as the founder of Maddock Films and for backing popular Hindi movies such as Stree, Hindi Medium, and Badlapur.
-
B.
Sanjay Bhalla
Sanjay Bhalla is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Bhalla.
-
C.
Vijay K. Thadani
Vijay K. Thadani is an Indian entrepreneur and co-founder of NIIT, a leading global skills and talent development company in the IT and education sectors.
-
D.
Ravi K. Chandran
Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
-
E.
Vijay Bhalla
Vijay Bhalla is a person notable enough to be recognized as a bearer of the surname Bhalla, though specific widely known public details about him are not clearly established.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.