Triple
T22951741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anuradha Paudwal |
E570037
|
entity |
| Predicate | hasCollaboratedWith |
P8554
|
FINISHED |
| Object | Nadeem–Shravan |
—
|
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: Nadeem–Shravan | Statement: [Anuradha Paudwal, hasCollaboratedWith, Nadeem–Shravan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadeem–Shravan Context triple: [Anuradha Paudwal, hasCollaboratedWith, Nadeem–Shravan]
-
A.
Nadeem–Shravan
chosen
Nadeem–Shravan were a hugely popular Indian music composer duo, best known for shaping the sound of 1990s Bollywood romance films with their melodious, hit-filled soundtracks.
-
B.
Sargam
Sargam is a popular 1950 Indian musical film celebrated for its melodious songs composed by C. Ramchandra.
-
C.
Amar Bhoopali
Amar Bhoopali is a classic Marathi film directed by V. Shantaram, celebrated for its portrayal of a gifted folk poet and its enduring musical legacy.
-
D.
Asha Vahishta
Asha Vahishta is one of the highest Amesha Spentas in Zoroastrianism, personifying truth, righteousness, and cosmic order.
-
E.
Kalyanji–Anandji
Kalyanji–Anandji were a renowned Indian film score composer duo, celebrated for their influential and melodious soundtracks in Hindi cinema from the 1960s through the 1980s.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a285448190a718734fe933d51a |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.