Triple

T4189364
Position Surface form Disambiguated ID Type / Status
Subject Imperial Rule Assistance Association E88994 entity
Predicate leader P981 FINISHED
Object Hideki Tojo E15406 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: Hideki Tojo | Statement: [Imperial Rule Assistance Association, leader, Hideki Tojo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hideki Tojo
Context triple: [Imperial Rule Assistance Association, leader, Hideki Tojo]
  • A. Hideki Tojo chosen
    Hideki Tojo was a Japanese general and Prime Minister during World War II who played a central role in Japan’s militaristic expansion and was later convicted as a war criminal.
  • B. Mamoru Shigemitsu
    Mamoru Shigemitsu was a Japanese diplomat and politician who served as foreign minister and signed Japan’s formal surrender at the end of World War II.
  • C. 東條 カツ
    東條カツ was the wife of Hideki Tojo, the Prime Minister of Japan during much of World War II.
  • D. Nobusuke
    Nobusuke is a Japanese given name most notably borne by Nobusuke Kishi, a former Prime Minister of Japan.
  • E. Terauchi Masatake
    Terauchi Masatake was a Japanese military officer and statesman who served as the first Governor-General of Korea and later as Prime Minister of Japan during the early 20th century.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0326eaec819083cd298c9219dd15 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d055a1888190a188a8dba7d8af23 completed March 14, 2026, 9:17 p.m.
Created at: March 9, 2026, 3:46 p.m.