Triple
T19051730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adept AI |
E466275
|
entity |
| Predicate | hasFounderRole |
P104
|
FINISHED |
| Object | Niki Parmar is co-founder of Adept AI |
—
|
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: Niki Parmar is co-founder of Adept AI | Statement: [Adept AI, hasFounderRole, Niki Parmar is co-founder of Adept AI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niki Parmar is co-founder of Adept AI Context triple: [Adept AI, hasFounderRole, Niki Parmar is co-founder of Adept AI]
-
A.
Niki Parmar
chosen
Niki Parmar is a computer scientist and co-author of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture in deep learning.
-
B.
Nikhil Parmar
Nikhil Parmar is a British actor known for his work in television and film, including a role in the thriller series "The Rig."
-
C.
Nandan Nilekani – Non-executive Chairman
Nandan Nilekani is an Indian entrepreneur, co-founder of Infosys, and a prominent technology and public policy leader known for spearheading the Aadhaar digital identity project.
-
D.
Nihar Nilekani
Nihar Nilekani is the son of Indian entrepreneur and Infosys co-founder Nandan Nilekani.
-
E.
Alkesh Parmar
Alkesh Parmar is a film editor known for his work on the holiday comedy-drama movie "Almost Christmas."
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc031ff881908e8c68c7aaff3733 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.