Triple
T23224281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bengali popular culture |
E580976
|
entity |
| Predicate | hasKeyFigure |
P810
|
FINISHED |
| Object | Shabana (actress) |
—
|
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: Shabana (actress) | Statement: [Bengali popular culture, hasKeyFigure, Shabana (actress)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shabana (actress) Context triple: [Bengali popular culture, hasKeyFigure, Shabana (actress)]
-
A.
Salma Shabana
Salma Shabana is an Egyptian professional squash player known for competing on the international women’s squash circuit.
-
B.
Sakina Ansari
Sakina Ansari is a daughter of the acclaimed American playwright August Wilson.
-
C.
Shabana
chosen
Shabana is a prominent Bangladeshi film actress renowned for her extensive and influential career in Bengali cinema.
-
D.
Sakina Jaffrey
Sakina Jaffrey is an American actress known for her roles in television series such as House of Cards, Timeless, and Billions, as well as numerous film and stage appearances.
-
E.
Nadira Babbar
Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922b4a348190ae570a869e30059f |
completed | April 29, 2026, 5:07 a.m. |
Created at: April 17, 2026, 4:08 p.m.