Triple

T1613969
Position Surface form Disambiguated ID Type / Status
Subject Den Kenjirō E34670 entity
Predicate name P16 FINISHED
Object Den Kenjirō E34670 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: Den Kenjirō | Statement: [Den Kenjirō, name, Den Kenjirō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Den Kenjirō
Context triple: [Den Kenjirō, name, Den Kenjirō]
  • A. Den Kenjirō chosen
    Den Kenjirō was a Japanese statesman and colonial administrator who served as Governor-General of Taiwan during the period of Japanese rule.
  • B. Kenkichi
    Kenkichi is a Japanese masculine given name that can be written with various kanji combinations and has been borne by numerous notable figures in fields such as sports, politics, and the arts.
  • 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. Kyojin
    Kyojin is the popular nickname of the Yomiuri Giants, one of Japan’s most historic and successful professional baseball teams.
  • E. Kume Kunitake
    Kume Kunitake was a Meiji-era Japanese scholar, historian, and statesman best known for documenting the Iwakura Mission’s journey and for his influential writings on Japan’s modernization.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098e245c8190b0169b648434aa49 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fb8b14c8190abbcc24f17fa8243 completed March 9, 2026, 1:17 a.m.
Created at: March 4, 2026, 7:28 p.m.