Triple
T5825748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 斎藤 実 |
E129217
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object |
さいとう まこと
さいとう まこと(斎藤実)は、日本の政治家・海軍軍人であり、第30代内閣総理大臣を務めた人物である。
|
E783186
|
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: さいとう まこと | Statement: [斎藤 実, 別名, さいとう まこと]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: さいとう まこと Context triple: [斎藤 実, 別名, さいとう まこと]
-
A.
Sakai Takashi
Sakai Takashi was an Imperial Japanese Army general best known for leading Japanese forces during the early Pacific War, including the invasion of Hong Kong.
-
B.
Josei Toda
Josei Toda was a Japanese educator, peace activist, and second president of the Soka Gakkai lay Buddhist organization, known for rebuilding and expanding it after World War II.
-
C.
Tomoiichi Murayama
Tomoiichi Murayama is a Japanese politician who served as Prime Minister of Japan in the mid-1990s, leading a coalition government despite heading the traditionally opposition-oriented Japan Socialist Party.
-
D.
Makoto Satō
Makoto Satō is a Japanese actor known for his roles in mid-20th-century cinema and television.
-
E.
Norio Satō
Norio Satō is a Japanese individual notable enough to be recognized as a distinct namesake, though specific widely known achievements or roles are not clearly documented.
- 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: さいとう まこと Triple: [斎藤 実, 別名, さいとう まこと]
Generated description
さいとう まこと(斎藤実)は、日本の政治家・海軍軍人であり、第30代内閣総理大臣を務めた人物である。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: さいとう まこと Target entity description: さいとう まこと(斎藤実)は、日本の政治家・海軍軍人であり、第30代内閣総理大臣を務めた人物である。
-
A.
Sakai Takashi
Sakai Takashi was an Imperial Japanese Army general best known for leading Japanese forces during the early Pacific War, including the invasion of Hong Kong.
-
B.
Josei Toda
Josei Toda was a Japanese educator, peace activist, and second president of the Soka Gakkai lay Buddhist organization, known for rebuilding and expanding it after World War II.
-
C.
Tomoiichi Murayama
Tomoiichi Murayama is a Japanese politician who served as Prime Minister of Japan in the mid-1990s, leading a coalition government despite heading the traditionally opposition-oriented Japan Socialist Party.
-
D.
Makoto Satō
Makoto Satō is a Japanese actor known for his roles in mid-20th-century cinema and television.
-
E.
Norio Satō
Norio Satō is a Japanese individual notable enough to be recognized as a distinct namesake, though specific widely known achievements or roles are not clearly documented.
- 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_69d05bd623b88190aeecaa70f92e5c3c |
completed | April 4, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_69d05d2e27a081909497f48f3b93b1fe |
completed | April 4, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05df1a0888190a2bdc48a159b865e |
completed | April 4, 2026, 12:40 a.m. |
Created at: March 22, 2026, 3:53 p.m.