Triple
T15399360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 竹下登 |
E368268
|
entity |
| Predicate | 後任の内閣総理大臣 |
P5586
|
FINISHED |
| Object |
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。
|
E1154927
|
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: 宇野宗佑 | Statement: [竹下登, 後任の内閣総理大臣, 宇野宗佑]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 宇野宗佑 Context triple: [竹下登, 後任の内閣総理大臣, 宇野宗佑]
-
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.
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。
-
C.
村上宗隆
村上宗隆は、東京ヤクルトスワローズに所属し、史上最年少で三冠王を獲得したことで知られる日本プロ野球界を代表する強打者の一人である。
-
D.
辰野金吾
辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
-
E.
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.
- 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: 宇野宗佑 Triple: [竹下登, 後任の内閣総理大臣, 宇野宗佑]
Generated description
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。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 宇野宗佑 Target entity description: 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。
-
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.
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。
-
C.
村上宗隆
村上宗隆は、東京ヤクルトスワローズに所属し、史上最年少で三冠王を獲得したことで知られる日本プロ野球界を代表する強打者の一人である。
-
D.
辰野金吾
辰野金吾 was a prominent Japanese architect of the Meiji and Taishō eras, best known for designing landmark Western-style buildings such as Tokyo Station.
-
E.
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.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13567e3481908eb6293c6af35f3a |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff144af00481909191a2d33874c195 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff15ae7c9c81909fd0894e48e5b5b1 |
completed | May 9, 2026, 11:08 a.m. |
Created at: April 10, 2026, 3:19 a.m.