Triple

T1120889
Position Surface form Disambiguated ID Type / Status
Subject Saitō Makoto E24607 entity
Predicate name P16 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: [Saitō Makoto, name, Saitō Makoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitō Makoto
Context triple: [Saitō Makoto, name, 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. 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.
  • C. Kodama Gentarō
    Kodama Gentarō was a Japanese general and statesman who served as Governor-General of Taiwan, playing a key role in establishing Japanese colonial administration there in the late 19th and early 20th centuries.
  • D. Nishi Amane
    Nishi Amane was a pioneering Meiji-era Japanese philosopher and statesman who helped introduce Western philosophy and legal thought to Japan.
  • E. Tanroh Ishida
    Tanroh Ishida is a Japanese actor known for his work in international films and theatre, including a notable role in the war drama "The Railway Man."
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad519194988190bb0eb59e7fa34dea completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:43 p.m.