Triple
T10548286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. S. Dileep Kumar |
E248877
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Allah Rakha |
E801379
|
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: Allah Rakha | Statement: [A. S. Dileep Kumar, givenName, Allah Rakha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allah Rakha Context triple: [A. S. Dileep Kumar, givenName, Allah Rakha]
-
A.
Allah Rakha Rahman
Allah Rakha Rahman is an acclaimed Indian composer, singer, and music producer renowned worldwide for his innovative film scores and multiple Academy Award-winning soundtracks.
-
B.
Alla Rakha
chosen
Alla Rakha was a renowned Indian tabla virtuoso celebrated for his collaborations with sitar maestro Ravi Shankar and for popularizing Indian classical percussion worldwide.
-
C.
Khaliquzzaman
Khaliquzzaman was a prominent South Asian Muslim politician and leader active during the Indian independence movement and the early years of Pakistan.
-
D.
Shahriar
Shahriar is a city in Tehran Province, Iran, known as an urban center within the metropolitan area southwest of Tehran.
-
E.
Mazhar
Mazhar is a masculine given name of Arabic origin commonly used in Turkey and several other Muslim-majority countries.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d305d081909b48d244e1cfa092 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d93457af7c819090f576ae606c5849 |
completed | April 10, 2026, 5:33 p.m. |
Created at: April 6, 2026, 12:33 p.m.