Triple
T5972020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asha Bhosle |
E132894
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | R. D. Burman |
E559718
|
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: R. D. Burman | Statement: [Asha Bhosle, associatedAct, R. D. Burman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. D. Burman Context triple: [Asha Bhosle, associatedAct, R. D. Burman]
-
A.
R. D. Burman
chosen
R. D. Burman was a legendary Indian film music composer and music director, renowned for his innovative, genre-blending soundtracks in Hindi cinema from the 1960s to the 1980s.
-
B.
Shankar–Jaikishan
Shankar–Jaikishan were a legendary Indian film music composer duo renowned for their influential and melodious soundtracks in Hindi cinema from the 1950s to the 1970s.
-
C.
John Braham
John Braham was a celebrated 19th-century English tenor and impresario who became one of the most prominent opera singers of his time.
-
D.
Naushad
Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
-
E.
Shailendra
Shailendra was a celebrated Indian poet and film lyricist, renowned for his evocative and timeless songs in classic Hindi cinema.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a00c3588190b335d7d3341b6d68 |
completed | March 22, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108422220819092ac63e5ebb264b4 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:03 p.m.