Triple
T1529175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengali cinema |
E32401
|
entity |
| Predicate | hasNotableActor |
P17435
|
FINISHED |
| Object | Sabana Azmi |
E175229
|
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: Sabana Azmi | Statement: [Bengali cinema, hasNotableActor, Sabana Azmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabana Azmi Context triple: [Bengali cinema, hasNotableActor, Sabana Azmi]
-
A.
Shabana
chosen
Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
-
B.
Amara Namani
Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
-
C.
Sufiya Zinobia
Sufiya Zinobia is a central character in Salman Rushdie’s novel "Shame," symbolizing purity, repression, and the violent consequences of societal and familial pressures in a fictionalized Pakistan.
-
D.
Fatima Meer
Fatima Meer was a prominent South African sociologist, anti-apartheid activist, and author who played a key role in the struggle for racial equality and social justice.
-
E.
Zohra
Zohra is a character in Naguib Mahfouz’s novel "Miramar," which centers on the lives and conflicts of residents in a pension in Alexandria, Egypt.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb1dfd1a48190804ca5f0fb6f5985 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad370463ac8190b7740b4d16499725 |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 4, 2026, 7:26 p.m.