Triple

T4104798
Position Surface form Disambiguated ID Type / Status
Subject February 26 Incident E88423 entity
Predicate notableVictim P870 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: [February 26 Incident, notableVictim, Saitō Makoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitō Makoto
Context triple: [February 26 Incident, notableVictim, 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. 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.
  • D. Toshimichi
    Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
  • E. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefd31bad88190b850d1dcba14de60 completed March 9, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69bb809c4c6c8190abeb7a5bad4fab67 completed March 19, 2026, 4:50 a.m.
Created at: March 9, 2026, 3:40 p.m.