Triple
T22755585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neha Kakkar |
E562833
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Tony Kakkar |
—
|
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: Tony Kakkar | Statement: [Neha Kakkar, associatedAct, Tony Kakkar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Kakkar Context triple: [Neha Kakkar, associatedAct, Tony Kakkar]
-
A.
Tony Kakkar
chosen
Tony Kakkar is an Indian singer, composer, and music producer known for his work in Hindi pop and Bollywood music.
-
B.
Tanishk Bagchi
Tanishk Bagchi is an Indian music composer and producer known for his work on numerous Bollywood film soundtracks and popular song remixes.
-
C.
Neha Kakkar
Neha Kakkar is a popular Indian playback singer known for her hit Bollywood songs and energetic vocal style.
-
D.
Arijit Biswas
Arijit Biswas is an Indian screenwriter known for his work on acclaimed Hindi films, including the black comedy thriller "Andhadhun."
-
E.
Zubeen
Zubeen is a given name, typically used as a variant spelling of the name Zubin.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.