Triple
T22094529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirch Masala |
E545990
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Ratna Pathak |
—
|
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: Ratna Pathak | Statement: [Mirch Masala, stars, Ratna Pathak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ratna Pathak Context triple: [Mirch Masala, stars, Ratna Pathak]
-
A.
Ratna Pathak Shah
chosen
Ratna Pathak Shah is an acclaimed Indian actress and theatre artist known for her versatile performances in film, television, and stage, including her iconic role in the TV series "Sarabhai vs Sarabhai."
-
B.
Dina Pathak
Dina Pathak was a renowned Indian actress and theatre activist known for her powerful character roles in Hindi and Gujarati cinema and stage.
-
C.
Dishita Sehgal
Dishita Sehgal is an Indian child actress best known for her role in the critically acclaimed Bollywood film "Hindi Medium."
-
D.
Soni Razdan
Soni Razdan is a British-born Indian actress and filmmaker known for her work in Hindi cinema and television, as well as for being the mother of actress Alia Bhatt.
-
E.
Anjali Apte
Anjali Apte is a notable individual associated with the surname Apte, recognized for her contributions in her respective field.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e82c1481908701f255b834f192 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.