Triple
T16700188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 片山哲 |
E405823
|
entity |
| Predicate | 後任の内閣総理大臣 |
P5586
|
FINISHED |
| Object |
芦田均
芦田均は、戦後日本の政治家であり、日本社会党出身で短期間ながら内閣総理大臣を務めた人物です。
|
E1229366
|
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: 芦田均 | Statement: [片山哲, 後任の内閣総理大臣, 芦田均]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 芦田均 Context triple: [片山哲, 後任の内閣総理大臣, 芦田均]
-
A.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
B.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
C.
宇野宗佑
宇野宗佑は、1989年に短期間在任した日本の第75代内閣総理大臣であり、自由民主党所属の政治家です。
-
D.
杉本博司
杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
-
E.
井筒俊彦
井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
- 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: 芦田均 Triple: [片山哲, 後任の内閣総理大臣, 芦田均]
Generated description
芦田均は、戦後日本の政治家であり、日本社会党出身で短期間ながら内閣総理大臣を務めた人物です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 芦田均 Target entity description: 芦田均は、戦後日本の政治家であり、日本社会党出身で短期間ながら内閣総理大臣を務めた人物です。
-
A.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
B.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
C.
宇野宗佑
宇野宗佑は、1989年に短期間在任した日本の第75代内閣総理大臣であり、自由民主党所属の政治家です。
-
D.
杉本博司
杉本博司は、長時間露光による海景や劇場シリーズなどで知られる、日本出身の世界的に著名な現代美術写真家・美術家です。
-
E.
井筒俊彦
井筒俊彦は、イスラーム思想やスーフィズム、東洋思想の比較研究で知られる日本の哲学者・宗教学者です。
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00919ee61c81909928dd26270e9614 |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:19 a.m.