Triple
T11289326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekta Kapoor |
E267282
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ekta Kapoor |
E267282
|
NE FINISHED |
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: Ekta Kapoor | Statement: [Ekta Kapoor, name, Ekta Kapoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekta Kapoor Context triple: [Ekta Kapoor, name, Ekta Kapoor]
-
A.
Ekta Kapoor
chosen
Ekta Kapoor is a prominent Indian television and film producer known for revolutionizing Hindi soap operas and co-founding Balaji Telefilms.
-
B.
Rhea Kapoor
Rhea Kapoor is an Indian film producer and fashion stylist known for producing Bollywood films like "Aisha" and "Veere Di Wedding" and for her work in celebrity styling.
-
C.
Khushi Kapoor
Khushi Kapoor is an Indian actress and model, best known as the younger daughter of legendary Bollywood star Sridevi and film producer Boney Kapoor.
-
D.
Karishma Kapoor
Karishma Kapoor is a prominent Indian film actress from the Kapoor family, known for her leading roles in popular Bollywood movies of the 1990s and early 2000s.
-
E.
Anshula Kapoor
Anshula Kapoor is an Indian celebrity and entrepreneur known for being part of the Kapoor film family and for founding the mental-health-focused fundraising platform Fankind.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e98875a08190b8509fe55e49d52d |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e603a1acc08190816db1ff13708e79 |
completed | April 20, 2026, 10:44 a.m. |
Created at: April 8, 2026, 9:32 p.m.