Triple
T22663369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. D. Burman |
E559718
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Vishal–Shekhar |
—
|
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–Shekhar | Statement: [R. D. Burman, influenced, Vishal–Shekhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vishal–Shekhar Context triple: [R. D. Burman, influenced, Vishal–Shekhar]
-
A.
Vishal–Shekhar
chosen
Vishal–Shekhar is a prominent Indian music composer duo known for creating popular Bollywood film soundtracks and hit pop songs.
-
B.
Veerta Aur Vivek
Veerta Aur Vivek is the Hindi motto of the Indian Military Academy, emphasizing the ideals of courage and wisdom for its cadets.
-
C.
Chiyaan Vikram
Chiyaan Vikram is a prominent Indian actor best known for his versatile and intense performances in Tamil cinema, including acclaimed roles in films like Sethu, Pithamagan, and Anniyan.
-
D.
Shekhar
Shekhar is an Indian filmmaker and actor best known for directing acclaimed films such as "Bandit Queen" and the historical drama "Elizabeth."
-
E.
Siddharth–Garima
Siddharth–Garima are an Indian lyricist and screenwriting duo known for their work on prominent Bollywood films and songs.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.