Triple
T17827035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetsu Katayama |
E445144
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Katayama Haru |
—
|
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: Katayama Haru | Statement: [Tetsu Katayama, spouse, Katayama Haru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katayama Haru Context triple: [Tetsu Katayama, spouse, Katayama Haru]
-
A.
Katayama Haru
chosen
Katayama Haru was the wife of Japanese socialist politician and postwar Prime Minister Tetsu Katayama.
-
B.
Hyakutake Yuji
Hyakutake Yuji is a Japanese amateur astronomer best known for discovering Comet Hyakutake, one of the brightest and most widely observed comets of the 20th century.
-
C.
Yū Fujiki
Yū Fujiki was a Japanese actor known for his roles in mid-20th-century cinema, particularly in kaiju and genre films.
-
D.
Katayama Tōkuma
Katayama Tōkuma was a prominent Meiji-era Japanese architect known for pioneering Western-style imperial and public buildings in Japan.
-
E.
Yukiye Kitahara
Yukiye Kitahara is known as the wife of actor Pat Morita, famed for his role as Mr. Miyagi in "The Karate Kid" series.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48914e20481908883d1da194f446c |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.