Triple
T12650946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 韓国統監 |
E302155
|
entity |
| Predicate | 第3代 |
P28522
|
FINISHED |
| Object |
寺内正毅
寺内正毅は、朝鮮統治に深く関わった日本の陸軍軍人・政治家であり、第18代内閣総理大臣も務めた人物である。
|
E535211
|
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: 寺内正毅 | Statement: [韓国統監, 第3代, 寺内正毅]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 寺内正毅 Context triple: [韓国統監, 第3代, 寺内正毅]
-
A.
寺内正照
寺内正照は、日本の陸軍軍人・政治家であり第18代内閣総理大臣を務めた寺内正毅の父親として知られる人物である。
-
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.
佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
-
D.
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。
-
E.
斎藤秀雄
斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
- 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: 寺内正毅 Triple: [韓国統監, 第3代, 寺内正毅]
Generated description
寺内正毅は、朝鮮統治に深く関わった日本の陸軍軍人・政治家であり、第18代内閣総理大臣も務めた人物である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 寺内正毅 Target entity description: 寺内正毅は、朝鮮統治に深く関わった日本の陸軍軍人・政治家であり、第18代内閣総理大臣も務めた人物である。
-
A.
寺内正照
chosen
寺内正照は、日本の陸軍軍人・政治家であり第18代内閣総理大臣を務めた寺内正毅の父親として知られる人物である。
-
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.
佐藤市郎
佐藤市郎は、日本の政治家・岸信介の親族にあたる人物である。
-
D.
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。
-
E.
斎藤秀雄
斎藤秀雄 was a prominent Japanese cellist and conductor, best known as a co-founder and influential teacher at the Toho Gakuen School of Music.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 第3代 Context triple: [韓国統監, 第3代, 寺内正毅]
-
A.
thirdGeneration
Indicates that one entity is the grandchild (third generation) relative to another entity in a lineage or succession.
-
B.
thirdGenerationPlatform
Indicates that the subject is a third-generation instance or version within a sequence of related platforms.
-
C.
thirdGenerationReleaseDate
Indicates the date on which the third generation of an item, product, or entity was officially released.
-
D.
thirdGenerationName
chosen
Indicates that the object is the name or designation assigned to the third generation in a lineage or sequence associated with the subject.
-
E.
fourthGeneration
Indicates that one entity is in the fourth generation of descent or succession relative to another entity.
- F. None of above.
Provenance (6 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687dad6c8190bb72bfebf6636a37 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6697d8ac88190b4ead9ce47f3a705 |
completed | May 2, 2026, 9:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a2fa350819091f12e16d59c2278 |
completed | May 2, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.