Triple
T16527557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shabana Azmi |
E401479
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Baba Azmi |
E544145
|
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: Baba Azmi | Statement: [Shabana Azmi, sibling, Baba Azmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baba Azmi Context triple: [Shabana Azmi, sibling, Baba Azmi]
-
A.
Baba Azmi
chosen
Baba Azmi is an Indian cinematographer and member of the prominent Akhtar–Azmi film family, known for his work in Hindi cinema.
-
B.
Kaifi Azmi
Kaifi Azmi was a renowned Indian Urdu poet, lyricist, and social activist known for his progressive, socially conscious writing and influential contributions to Indian literature and cinema.
-
C.
Zaki Azmi
Zaki Azmi is a prominent Malaysian jurist and former Chief Justice of Malaysia who later served as Chief Justice of the DIFC Courts in Dubai.
-
D.
Shabana Azmi
Shabana Azmi is a renowned Indian actress acclaimed for her powerful performances in parallel cinema and mainstream Bollywood, as well as for her longstanding social and political activism.
-
E.
Nira Benegal
Nira Benegal is the wife of acclaimed Indian film director and screenwriter Shyam Benegal.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed4b8a08190b5f179fc583001a6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ed808448190936ea51a9a28a95a |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:14 a.m.