Triple
T21428320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudaali |
E528618
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rakhee Gulzar |
—
|
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: Rakhee Gulzar | Statement: [Rudaali, starring, Rakhee Gulzar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rakhee Gulzar Context triple: [Rudaali, starring, Rakhee Gulzar]
-
A.
Ritu Nanda
Ritu Nanda was an Indian businesswoman and insurance advisor, best known as a member of the prominent Kapoor film family and for setting industry records in the insurance sector.
-
B.
Shanta Apte
Shanta Apte was a prominent Indian film actress and playback singer of the 1930s and 1940s, known for her powerful performances in Marathi and Hindi cinema.
-
C.
Dimple Kapadia
Dimple Kapadia is a renowned Indian film actress known for her work in Hindi cinema since the 1970s, acclaimed for both mainstream and critically lauded roles.
-
D.
Rakhhee Gulzar
chosen
Rakhhee Gulzar is an acclaimed Indian film actress best known for her powerful performances in Hindi cinema during the 1970s and 1980s.
-
E.
Suchitra Sen
Suchitra Sen was a legendary Indian film actress renowned for her powerful performances in Bengali cinema and as the first Indian actress to receive an international film award.
- 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.