Triple
T19273675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zubeidaa |
E481991
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Rekha |
—
|
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: Rekha | Statement: [Zubeidaa, leadActor, Rekha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rekha Context triple: [Zubeidaa, leadActor, Rekha]
-
A.
Rekha
chosen
Rekha is a celebrated Indian film actress renowned for her versatile performances and enduring impact on Hindi cinema.
-
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.
Raveena Tandon
Raveena Tandon is an Indian actress and producer known for her prominent roles in 1990s and early 2000s Bollywood films and for winning the National Film Award for Best Actress.
-
E.
Seema Kapoor
Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
- 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.