Triple
T22533892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fukuda Doctrine |
E557109
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Takeo Fukuda |
—
|
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: Takeo Fukuda | Statement: [Fukuda Doctrine, namedAfter, Takeo Fukuda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takeo Fukuda Context triple: [Fukuda Doctrine, namedAfter, Takeo Fukuda]
-
A.
Takeo Fukuda
chosen
Takeo Fukuda was a Japanese Liberal Democratic Party politician who served as Prime Minister of Japan from 1976 to 1978.
-
B.
Takeo Fujisawa
Takeo Fujisawa was a Japanese businessman who played a pivotal role in building Honda into a global automotive and motorcycle powerhouse through his leadership and management expertise.
-
C.
Takeo Ito
Takeo Ito was a Japanese cinematographer known for his work on classic films, including Akira Kurosawa’s early postwar drama "Drunken Angel."
-
D.
Toshihide Doi
Toshihide Doi was a Japanese physicist and politician known for his contributions to particle physics and his service in Japan’s House of Representatives.
-
E.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed952f48190b63225e7de131679 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.