Triple
T6296459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alka Yagnik |
E141143
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alka Yagnik |
E141143
|
NE FINISHED |
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: [Alka Yagnik, name, Alka Yagnik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alka Yagnik Context triple: [Alka Yagnik, name, 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.
Asha Bhosle
Asha Bhosle is a legendary Indian playback singer renowned for her versatile voice and vast repertoire across numerous film and non-film songs in multiple languages.
-
C.
Shreya Ghoshal
Shreya Ghoshal is a renowned Indian playback singer celebrated for her versatile voice and extensive work across multiple Indian film industries.
-
D.
Lata Mangeshkar
Lata Mangeshkar was a legendary Indian playback singer whose career spanned over seven decades and who became one of the most recorded and revered voices in the history of Indian music.
-
E.
Sunidhi Chauhan
Sunidhi Chauhan is a prominent Indian playback singer known for her powerful, versatile voice and numerous hit songs across Bollywood films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5198e2c1c81909d39adffbdadcbdf |
completed | March 26, 2026, 11:33 a.m. |
Created at: March 22, 2026, 4:27 p.m.