Triple
T5825735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 斎藤 実 |
E129217
|
entity |
| Predicate | 後任(内閣総理大臣) |
P5586
|
FINISHED |
| Object |
岡田啓介
岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
|
E547128
|
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: 岡田啓介 | Statement: [斎藤 実, 後任(内閣総理大臣), 岡田啓介]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 岡田啓介 Context triple: [斎藤 実, 後任(内閣総理大臣), 岡田啓介]
-
A.
Matsukata Masayoshi
Matsukata Masayoshi was a prominent Meiji-era Japanese statesman and economist who served multiple terms as prime minister and is best known for his deflationary "Matsukata Fiscal Policy" that stabilized Japan’s modern financial system.
-
B.
Hiroshi Hara
Hiroshi Hara is a prominent Japanese architect known for his innovative, futuristic designs and influential urban projects in Japan and abroad.
-
C.
Kōno Ichirō
Kōno Ichirō was an Imperial Japanese Army officer best known for his leadership role in commanding Japan’s 3rd Division.
-
D.
Yoshihiko Miyauchi
Yoshihiko Miyauchi is a Japanese businessman best known for building Orix Corporation into a major global financial services group and serving as its long-time leader.
-
E.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
- 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: 岡田啓介 Triple: [斎藤 実, 後任(内閣総理大臣), 岡田啓介]
Generated description
岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 岡田啓介 Target entity description: 岡田啓介は、昭和初期に海軍大将出身として内閣総理大臣を務め、二・二六事件の際に襲撃を受けたことで知られる日本の政治家・軍人である。
-
A.
Matsukata Masayoshi
Matsukata Masayoshi was a prominent Meiji-era Japanese statesman and economist who served multiple terms as prime minister and is best known for his deflationary "Matsukata Fiscal Policy" that stabilized Japan’s modern financial system.
-
B.
Hiroshi Hara
Hiroshi Hara is a prominent Japanese architect known for his innovative, futuristic designs and influential urban projects in Japan and abroad.
-
C.
Kōno Ichirō
Kōno Ichirō was an Imperial Japanese Army officer best known for his leadership role in commanding Japan’s 3rd Division.
-
D.
Yoshihiko Miyauchi
Yoshihiko Miyauchi is a Japanese businessman best known for building Orix Corporation into a major global financial services group and serving as its long-time leader.
-
E.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0341caa70819087808564e16109b0 |
completed | March 22, 2026, 6:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0985e3e748190abcc226abdcdb4b5 |
completed | March 23, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69c098f465cc819088241200306bd273 |
completed | March 23, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09978ab548190934bc9517444f8a7 |
completed | March 23, 2026, 1:38 a.m. |
Created at: March 22, 2026, 3:53 p.m.