Triple
T21944217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talvar |
E541894
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Vishal Bhardwaj |
—
|
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: Vishal Bhardwaj | Statement: [Talvar, writer, Vishal Bhardwaj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vishal Bhardwaj Context triple: [Talvar, writer, Vishal Bhardwaj]
-
A.
Vishal Bhardwaj
chosen
Vishal Bhardwaj is an acclaimed Indian filmmaker, screenwriter, composer, and producer known for his dark, literary-inspired Hindi films such as the Shakespearean trilogy Maqbool, Omkara, and Haider.
-
B.
Vikram Bhatt
Vikram Bhatt is an Indian filmmaker best known as a director and screenwriter of numerous Hindi horror and thriller films.
-
C.
Ashutosh Gowariker
Ashutosh Gowariker is an acclaimed Indian film director, producer, and screenwriter best known for his epic, socially conscious dramas such as "Lagaan" and "Swades."
-
D.
Ritesh Batra
Ritesh Batra is an Indian film director and screenwriter best known for his acclaimed debut feature "The Lunchbox" and subsequent international work in both Hindi and English-language cinema.
-
E.
Shayar Bhansali
Shayar Bhansali is a film editor known for his work on the 2020 coming-of-age drama "Stargirl."
- 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.