Triple
T21944147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindi Medium |
E541892
|
entity |
| Predicate | leadActress |
P6108
|
FINISHED |
| Object | Saba Qamar |
—
|
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: Saba Qamar | Statement: [Hindi Medium, leadActress, Saba Qamar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saba Qamar Context triple: [Hindi Medium, leadActress, Saba Qamar]
-
A.
Saba Qamar
chosen
Saba Qamar is a acclaimed Pakistani actress and television personality known for her versatile performances in film and drama across Pakistan and India.
-
B.
Umaima Marvi
Umaima Marvi is the wife of educator and Khan Academy founder Sal Khan.
-
C.
Safia Akhtar
Safia Akhtar was the mother of renowned Indian lyricist and screenwriter Javed Akhtar and a member of a prominent literary family.
-
D.
Zaira Wasim
Zaira Wasim is an Indian former actress best known for her critically acclaimed debut role in the blockbuster film "Dangal" and her National Film Award–winning performance in "Secret Superstar."
-
E.
Ayesha Takia
Ayesha Takia is an Indian actress best known for her work in Hindi films during the 2000s, including popular roles in movies like "Dor" and "Wanted."
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.