Triple
T20975178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cho Yo-han |
E516605
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kerri Higuchi |
—
|
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: Kerri Higuchi | Statement: [Cho Yo-han, spouse, Kerri Higuchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerri Higuchi Context triple: [Cho Yo-han, spouse, Kerri Higuchi]
-
A.
Kerri Higuchi
chosen
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
-
B.
Kathleen Yamachi
Kathleen Yamachi is known as the former spouse of American actor Pat Morita, famed for his role as Mr. Miyagi in "The Karate Kid" series.
-
C.
Kelly Matsumoto
Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
-
D.
Tanya Horie
Tanya Horie is a comic book colorist known for her work on titles such as DC Comics' "Dial H."
-
E.
Carol Kikumura
Carol Kikumura is best known as the wife of Australian actor Rod Taylor, a prominent star of classic Hollywood films such as "The Time Machine" and "The Birds."
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:46 p.m.