Triple
T22433294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parched |
E554549
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Radhika Apte |
—
|
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: Radhika Apte | Statement: [Parched, leadActor, Radhika Apte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radhika Apte Context triple: [Parched, leadActor, Radhika Apte]
-
A.
Radhika Apte
chosen
Radhika Apte is an acclaimed Indian actress known for her versatile performances in independent films, mainstream Bollywood cinema, and international streaming series.
-
B.
Shraddha Kapoor
Shraddha Kapoor is a popular Indian film actress and singer known for her work in Hindi cinema, including notable roles in films like Aashiqui 2, Haider, and Stree.
-
C.
Radhika Merchant
Radhika Merchant is an Indian businesswoman and public figure known for her association with the Reliance Industries family and her high-profile marriage to Anant Ambani.
-
D.
Shefali Shah
Shefali Shah is an acclaimed Indian actress known for her powerful performances in film, television, and streaming series such as "Satya," "Dil Dhadakne Do," and "Delhi Crime."
-
E.
Radhika Madan
Radhika Madan is an Indian actress known for her work in Hindi films and television, transitioning from popular TV serials to acclaimed Bollywood roles.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a3320448190ae3931062599116e |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.