Triple
T23423704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oki Foundation |
E560733
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Scott Oki |
—
|
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: Scott Oki | Statement: [Oki Foundation, namedAfter, Scott Oki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Oki Context triple: [Oki Foundation, namedAfter, Scott Oki]
-
A.
Scott Oki
chosen
Scott Oki is an American businessman and philanthropist best known as a former Microsoft executive who played a key role in building the company’s international business and later became a major supporter of education and community causes.
-
B.
Chris Ohiri
Chris Ohiri was a notable Nigerian footballer whose legacy in the sport led to a stadium being named in his honor.
-
C.
Steve Okamoto
Steve Okamoto is a designer best known for his work on the Mamba project.
-
D.
Daryn Okada
Daryn Okada is an American cinematographer known for his work on a wide range of studio films, including popular comedies and genre movies.
-
E.
Brad Katsuyama
Brad Katsuyama is a Canadian financial executive best known as the central figure in Michael Lewis's book "Flash Boys" for exposing high-frequency trading abuses and co-founding the IEX stock exchange.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54838fc8190a3205ca72daaf107 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.