Triple
T14177384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neeru Khosla |
E351367
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Neeru Khosla |
E351367
|
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: Neeru Khosla | Statement: [Neeru Khosla, name, Neeru Khosla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neeru Khosla Context triple: [Neeru Khosla, name, Neeru Khosla]
-
A.
Neeru Khosla
chosen
Neeru Khosla is an Indian-American education advocate and co-founder of the nonprofit digital learning platform CK-12 Foundation.
-
B.
Anu Khosla
Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
-
C.
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."
-
D.
Sunita Kapoor
Sunita Kapoor is an Indian former model and costume designer best known as the wife of Bollywood actor Anil Kapoor and the matriarch of the Kapoor family, including actress Sonam Kapoor.
-
E.
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.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61c76e8081909994b95b631100e9 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19413bd08190930767abc2c588d4 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:02 a.m.