Triple
T22599212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bairi Piya |
E574766
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Ismail Darbar |
—
|
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: Ismail Darbar | Statement: [Bairi Piya, composer, Ismail Darbar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ismail Darbar Context triple: [Bairi Piya, composer, Ismail Darbar]
-
A.
Ismail Darbar
chosen
Ismail Darbar is an Indian film music composer best known for his grand, classical-leaning scores in Bollywood cinema, including the soundtrack of "Devdas."
-
B.
Nasir Khan
Nasir Khan was an Indian film actor known for his roles in Hindi cinema during the mid-20th century.
-
C.
Shahid Latief
Shahid Latief is an actor known for appearing in the Indian thriller film "A Thursday."
-
D.
Farrukh Yasar
Farrukh Yasar was a late 15th-century ruler of the Shirvanshah dynasty, known for his efforts to maintain Shirvan’s autonomy amid rising regional powers such as the Safavids.
-
E.
Sahib Shihab
Sahib Shihab was an American jazz saxophonist and flautist known for his work in bebop and hard bop, including collaborations with artists like Thelonious Monk and the Kenny Clarke/Francy Boland Big Band.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626b5f5481909a104088d1c96720 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:50 p.m.