Triple
T19273433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalyug |
E481985
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Sushma Seth |
—
|
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: Sushma Seth | Statement: [Kalyug, stars, Sushma Seth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sushma Seth Context triple: [Kalyug, stars, Sushma Seth]
-
A.
Sushma Seth
chosen
Sushma Seth is an Indian film, television, and theatre actress known for her character roles, especially as a mother or grandmother, in numerous Hindi movies and TV serials.
-
B.
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.
-
C.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
D.
Babita Kapoor
Babita Kapoor is an Indian former actress and member of the prominent Kapoor film family, known for her work in Hindi cinema of the late 1960s and 1970s.
-
E.
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."
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbba7758819081c1c78667c59c5e |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.