Triple
T18309874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yōko Yaguchi |
E438592
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Yōko Yaguchi |
—
|
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: Yōko Yaguchi | Statement: [Yōko Yaguchi, name, Yōko Yaguchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yōko Yaguchi Context triple: [Yōko Yaguchi, name, Yōko Yaguchi]
-
A.
Yōko Yaguchi
chosen
Yōko Yaguchi was a Japanese actress best known for her work in the 1940s and for being married to renowned film director Akira Kurosawa.
-
B.
Yoko Sugiyama
Yoko Sugiyama was the wife of renowned Japanese author and playwright Yukio Mishima.
-
C.
Yukiko Yamashita
Yukiko Yamashita is a developmental biologist known for her research on stem cell biology and asymmetric cell division.
-
D.
Yoko Gushiken
Yoko Gushiken is a former Japanese professional boxer and long-reigning WBA light flyweight champion, widely regarded as one of Japan’s greatest boxers.
-
E.
Ayako Fujitani
Ayako Fujitani is a Japanese actress and writer, known for her roles in genre and independent films as well as being the daughter of actor Steven Seagal.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021709f88190a8047dd57edc2029 |
completed | April 19, 2026, 4:25 p.m. |
Created at: April 10, 2026, 10:36 a.m.