Triple
T22012346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rang Rasiya |
E543607
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Deepa Sahi |
—
|
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: Deepa Sahi | Statement: [Rang Rasiya, producer, Deepa Sahi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deepa Sahi Context triple: [Rang Rasiya, producer, Deepa Sahi]
-
A.
Deepa Sahi
chosen
Deepa Sahi is an Indian actress, screenwriter, and film producer known for her work in parallel cinema and for producing and acting in several critically acclaimed Hindi films.
-
B.
Deepa Bhatia
Deepa Bhatia is an Indian film editor known for her acclaimed work on several Hindi films, including the critically celebrated drama "Taare Zameen Par."
-
C.
Shilpa Sahi
Shilpa Sahi is a film editor best known for her work on the horror movie "The Last Exorcism."
-
D.
Tarika Bansal
Tarika Bansal is the ambitious daughter of the protagonist in the Hindi film "Angrezi Medium," whose dream of studying abroad drives the emotional core of the story.
-
E.
Champak Bansal
Champak Bansal is the middle-class, overprotective father portrayed by Irrfan Khan in the Hindi film "Angrezi Medium," whose struggles to fulfill his daughter's dream of studying abroad drive the movie's emotional narrative.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a5e624819082ed5beeb4bc82fa |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.