Triple
T21944781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virasat |
E541906
|
entity |
| Predicate | songPerformer |
P9648
|
FINISHED |
| Object | Alka Yagnik |
—
|
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: Alka Yagnik | Statement: [Virasat, songPerformer, Alka Yagnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alka Yagnik Context triple: [Virasat, songPerformer, Alka Yagnik]
-
A.
Alka Yagnik
chosen
Alka Yagnik is a renowned Indian playback singer celebrated for her melodious voice and numerous hit songs in Hindi cinema since the 1980s.
-
B.
Shubha Yagnik
Shubha Yagnik is the daughter of renowned Indian playback singer Alka Yagnik.
-
C.
Asha Rambally
Asha Rambally is a prominent activist and intellectual associated with South Africa’s Black Consciousness Movement, known for advancing Black political and cultural empowerment.
-
D.
Kumar Sanu
Kumar Sanu is a renowned Indian playback singer, especially famous for his melodious and prolific contributions to Bollywood film music in the 1990s.
-
E.
Shankar Mahadevan
Shankar Mahadevan is an acclaimed Indian playback singer and composer known for his work across multiple languages and as a member of the Shankar–Ehsaan–Loy trio in film music.
- 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.