Triple
T22102751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saaransh |
E546210
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Soni Razdan |
—
|
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: Soni Razdan | Statement: [Saaransh, starring, Soni Razdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soni Razdan Context triple: [Saaransh, starring, Soni Razdan]
-
A.
Soni Razdan
chosen
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.
-
B.
Nadira Babbar
Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
-
C.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
D.
Poonam Sinha
Poonam Sinha is an Indian actress and film producer known for her supporting roles in Hindi cinema and as the wife of veteran actor Shatrughan Sinha.
-
E.
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.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.