Triple
T21428367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gardish |
E528619
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Farida Jalal |
—
|
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: Farida Jalal | Statement: [Gardish, starring, Farida Jalal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farida Jalal Context triple: [Gardish, starring, Farida Jalal]
-
A.
Farida Jalal
chosen
Farida Jalal is a veteran Indian film and television actress known for her versatile character roles and memorable performances across Hindi cinema since the 1960s.
-
B.
Hamida Mohammad Ali
Hamida Mohammad Ali was the wife of Pakistani statesman and former Prime Minister Mohammad Ali Bogra.
-
C.
Nilofer Khan
Nilofer Khan is an Indian academic and administrator who became the first woman to serve as Vice-Chancellor of the University of Kashmir.
-
D.
Leila Kabir
Leila Kabir is an Indian woman known primarily as the former wife of prominent socialist leader and former Indian Defence Minister George Fernandes.
-
E.
Wafa Begum
Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b3e74bcc81909ad66e3c59152ffc |
completed | April 22, 2026, 11:41 a.m. |
Created at: April 16, 2026, 5:49 p.m.