Triple
T22149094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Apna Aur Preet Parai |
E547366
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Leela Chitnis |
—
|
NE NERFINISHED |
How this triple was built (3 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: Leela Chitnis | Statement: [Dil Apna Aur Preet Parai, starring, Leela Chitnis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leela Chitnis Context triple: [Dil Apna Aur Preet Parai, starring, Leela Chitnis]
-
A.
Nainita Desai
Nainita Desai is a British film and television composer known for her evocative scores on high-profile dramas and documentaries.
-
B.
Nita Dalal
Nita Dalal, better known as Nita Ambani, is an Indian philanthropist and businesswoman who is a key figure in the Reliance Industries conglomerate and the founder of the Reliance Foundation.
-
C.
Aruna Bhatia
Aruna Bhatia was an Indian film producer best known as the mother of Bollywood actor Akshay Kumar and for producing several of his films.
-
D.
Gita Mehta
Gita Mehta was an Indian writer, documentary filmmaker, and journalist known for her works exploring Indian politics, culture, and history, including the acclaimed books "Karma Cola" and "Raj."
-
E.
Neela Rasgotra
Neela Rasgotra is a fictional surgical resident and later attending physician on the medical drama series "ER," known for her intelligence, compassion, and complex personal relationships.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leela Chitnis Target entity description: Leela Chitnis was a prominent Indian film actress known for her pioneering roles in Hindi cinema from the 1930s onward, often portraying dignified maternal characters.
-
A.
Nainita Desai
Nainita Desai is a British film and television composer known for her evocative scores on high-profile dramas and documentaries.
-
B.
Nita Dalal
Nita Dalal, better known as Nita Ambani, is an Indian philanthropist and businesswoman who is a key figure in the Reliance Industries conglomerate and the founder of the Reliance Foundation.
-
C.
Aruna Bhatia
Aruna Bhatia was an Indian film producer best known as the mother of Bollywood actor Akshay Kumar and for producing several of his films.
-
D.
Gita Mehta
Gita Mehta was an Indian writer, documentary filmmaker, and journalist known for her works exploring Indian politics, culture, and history, including the acclaimed books "Karma Cola" and "Raj."
-
E.
Neela Rasgotra
Neela Rasgotra is a fictional surgical resident and later attending physician on the medical drama series "ER," known for her intelligence, compassion, and complex personal relationships.
- F. None of above. chosen
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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f2c0e881909c3488bb5eb5959d |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.