Triple
T6296504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alka Yagnik |
E141143
|
entity |
| Predicate | hasPerformedWith |
P9966
|
FINISHED |
| Object |
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.
|
E636138
|
NE FINISHED |
How this triple was built (4 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: Kumar Sanu | Statement: [Alka Yagnik, hasPerformedWith, Kumar Sanu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kumar Sanu Context triple: [Alka Yagnik, hasPerformedWith, Kumar Sanu]
-
A.
Udit Narayan
Udit Narayan is a renowned Indian playback singer celebrated for his melodious voice and numerous hit songs in Bollywood films since the 1980s.
-
B.
Sonu Nigam
Sonu Nigam is a renowned Indian playback singer and live performer known for his versatile vocals across Bollywood, devotional, and pop music.
-
C.
Alka Yagnik
Alka Yagnik is a renowned Indian playback singer celebrated for her melodious voice and numerous hit songs in Hindi cinema since the 1980s.
-
D.
Kishore Kumar
Kishore Kumar was a legendary Indian playback singer, actor, and music composer renowned for his versatile voice and iconic songs in Hindi cinema.
-
E.
Sad-bhawna Shikhar
Sad-bhawna Shikhar is a peak in central India that forms the highest elevation of the Vindhya Range.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kumar Sanu Triple: [Alka Yagnik, hasPerformedWith, Kumar Sanu]
Generated description
Kumar Sanu is a renowned Indian playback singer, especially famous for his melodious and prolific contributions to Bollywood film music in the 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kumar Sanu Target entity description: Kumar Sanu is a renowned Indian playback singer, especially famous for his melodious and prolific contributions to Bollywood film music in the 1990s.
-
A.
Udit Narayan
Udit Narayan is a renowned Indian playback singer celebrated for his melodious voice and numerous hit songs in Bollywood films since the 1980s.
-
B.
Sonu Nigam
Sonu Nigam is a renowned Indian playback singer and live performer known for his versatile vocals across Bollywood, devotional, and pop music.
-
C.
Alka Yagnik
Alka Yagnik is a renowned Indian playback singer celebrated for her melodious voice and numerous hit songs in Hindi cinema since the 1980s.
-
D.
Kishore Kumar
Kishore Kumar was a legendary Indian playback singer, actor, and music composer renowned for his versatile voice and iconic songs in Hindi cinema.
-
E.
Sad-bhawna Shikhar
Sad-bhawna Shikhar is a peak in central India that forms the highest elevation of the Vindhya Range.
- F. None of above. chosen
Provenance (5 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_69c77510f80c81908fe7784bdaa640c5 |
completed | March 28, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69c777671e248190b0b9a38f798446d9 |
completed | March 28, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c777c80d6c8190b4e7cd0243c9042e |
completed | March 28, 2026, 6:40 a.m. |
Created at: March 22, 2026, 4:27 p.m.