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.