Triple
T21944336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qarib Qarib Singlle |
E541896
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Rochak Kohli |
—
|
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: Rochak Kohli | Statement: [Qarib Qarib Singlle, musicBy, Rochak Kohli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rochak Kohli Context triple: [Qarib Qarib Singlle, musicBy, Rochak Kohli]
-
A.
Rochak Kohli
chosen
Rochak Kohli is an Indian music composer and lyricist known for his work on numerous Bollywood film soundtracks and popular Hindi songs.
-
B.
Kunal Kohli
Kunal Kohli is an Indian film director, producer, and writer best known for his work in Hindi cinema, particularly romantic dramas.
-
C.
Prithvi Shaw
Prithvi Shaw is an Indian cricketer and aggressive opening batsman who has represented India in international cricket and plays domestically for Mumbai.
-
D.
Rishabh Pant
Rishabh Pant is an Indian cricketer and explosive wicketkeeper-batsman known for his aggressive stroke play in international cricket and the Indian Premier League.
-
E.
Pushmeet Kohli
Pushmeet Kohli is a computer scientist and AI researcher known for his work in deep learning and reinforcement learning at DeepMind, contributing to landmark systems such as AlphaGo Zero.
- 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.