Triple

T14679256
Position Surface form Disambiguated ID Type / Status
Subject Inukai Tsuyoshi E344732 entity
Predicate succeededBy P78 FINISHED
Object Saitō Makoto E24607 NE FINISHED

How this triple was built (2 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: Saitō Makoto | Statement: [Inukai Tsuyoshi, succeededBy, Saitō Makoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitō Makoto
Context triple: [Inukai Tsuyoshi, succeededBy, Saitō Makoto]
  • A. Saitō Makoto chosen
    Saitō Makoto was a Japanese admiral and statesman who served as Governor-General of Korea and later as Prime Minister of Japan during the early Shōwa period.
  • B. Kaoru Ushijima
    Kaoru Ushijima is a Japanese individual notable enough to be recognized as a namesake of the surname Ushijima.
  • C. Murata Makoto
    Murata Makoto is a Japanese computer scientist best known for his work on XML technologies and for designing the RELAX schema language.
  • D. Ushijima Mitsuru
    Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
  • E. Sōsuke Uno
    Sōsuke Uno was a Japanese politician of the Liberal Democratic Party who briefly served as Prime Minister of Japan in 1989 before resigning amid a financial and sex scandal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa929b0b88190ad40d54ba4ef478a completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 1:27 a.m.