Triple
T16016674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 山口那津男 |
E388484
|
entity |
| Predicate | 前任の公明党代表 |
P121373
|
FINISHED |
| Object |
太田昭宏
太田昭宏は、日本の政治家であり、公明党の元代表として国土交通大臣などを歴任した人物である。
|
E1190299
|
NE FINISHED |
How this triple was built (5 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: 太田昭宏 | Statement: [山口那津男, 前任の公明党代表, 太田昭宏]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 太田昭宏 Context triple: [山口那津男, 前任の公明党代表, 太田昭宏]
-
A.
佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
-
B.
吉田遠志
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
-
C.
近藤浩治
近藤浩治は、『スーパーマリオブラザーズ』や『ゼルダの伝説』シリーズなどで知られる日本の著名なゲーム音楽作曲家です。
-
D.
吉田健一
吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
-
E.
豊田泰久
豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
- 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: 太田昭宏 Triple: [山口那津男, 前任の公明党代表, 太田昭宏]
Generated description
太田昭宏は、日本の政治家であり、公明党の元代表として国土交通大臣などを歴任した人物である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 太田昭宏 Target entity description: 太田昭宏は、日本の政治家であり、公明党の元代表として国土交通大臣などを歴任した人物である。
-
A.
佐藤信介
佐藤信介は、戦後日本の保守政治を主導し第56・57代内閣総理大臣を務めた政治家・岸信介の本名である。
-
B.
吉田遠志
吉田遠志 was a prominent 20th-century Japanese woodblock print artist known for his landscape and animal prints that blended traditional ukiyo-e techniques with modern sensibilities.
-
C.
近藤浩治
近藤浩治は、『スーパーマリオブラザーズ』や『ゼルダの伝説』シリーズなどで知られる日本の著名なゲーム音楽作曲家です。
-
D.
吉田健一
吉田健一は、戦後日本を代表する首相・吉田茂の長男であり、英文学者・評論家として知られる文学者である。
-
E.
豊田泰久
豊田泰久 is a renowned Japanese acoustician best known for designing the acoustics of major concert halls and performance venues around the world.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 前任の公明党代表 Context triple: [山口那津男, 前任の公明党代表, 太田昭宏]
-
A.
incumbentPremierBeforeElection
Indicates that the referenced person was serving as premier immediately prior to the specified election.
-
B.
previousRepresentativeParty
Indicates that a given party previously served as the representative party for another entity before the current representative was in place.
-
C.
前職(首相直前)
Indicates the position or role a person held immediately before becoming prime minister.
-
D.
predecessorHeadOfStateRepresentative
Indicates that one entity previously served as the head-of-state representative immediately before the other entity in a given office or role.
-
E.
predecessorAsPrimeMinister
Indicates that one person previously held the office of Prime Minister immediately before another person.
- F. None of above. chosen
Provenance (7 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2a4b0c819094f629c65cf8f880 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffcfb02b208190b961b525a29b02a5 |
completed | May 10, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd8e7b94c819093bc23288900df33 |
completed | May 10, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:55 a.m.