Triple
T10529690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 福田康夫 |
E248404
|
entity |
| Predicate | ローマ字表記 |
P2508
|
FINISHED |
| Object |
Fukuda Yasuo
Fukuda Yasuo is a Japanese politician who served as Prime Minister of Japan from 2007 to 2008 and is the son of former Prime Minister Takeo Fukuda.
|
E869642
|
NE FINISHED |
How this triple was built (4 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: Fukuda Yasuo | Statement: [福田康夫, ローマ字表記, Fukuda Yasuo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fukuda Yasuo Context triple: [福田康夫, ローマ字表記, Fukuda Yasuo]
-
A.
Kiichirō Hiranuma
Kiichirō Hiranuma was a Japanese politician, jurist, and nationalist who briefly served as Prime Minister of Japan on the eve of World War II.
-
B.
Masakazu Nakasone
Masakazu Nakasone is a Japanese politician who serves as the mayor of the city of Uruma in Okinawa Prefecture.
-
C.
Hideo Hatoyama
Hideo Hatoyama was a Japanese politician and member of the influential Hatoyama political family.
-
D.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
E.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fukuda Yasuo Triple: [福田康夫, ローマ字表記, Fukuda Yasuo]
Generated description
Fukuda Yasuo is a Japanese politician who served as Prime Minister of Japan from 2007 to 2008 and is the son of former Prime Minister Takeo Fukuda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fukuda Yasuo Target entity description: Fukuda Yasuo is a Japanese politician who served as Prime Minister of Japan from 2007 to 2008 and is the son of former Prime Minister Takeo Fukuda.
-
A.
Kiichirō Hiranuma
Kiichirō Hiranuma was a Japanese politician, jurist, and nationalist who briefly served as Prime Minister of Japan on the eve of World War II.
-
B.
Masakazu Nakasone
Masakazu Nakasone is a Japanese politician who serves as the mayor of the city of Uruma in Okinawa Prefecture.
-
C.
Hideo Hatoyama
Hideo Hatoyama was a Japanese politician and member of the influential Hatoyama political family.
-
D.
Hiroshi Satō
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
E.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
- F. None of above. chosen
Provenance (5 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f7d8ac8190b90c1a7f77b23545 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e3caf4c8190b19199f1a68a00de |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:30 p.m.