Triple

T12697740
Position Surface form Disambiguated ID Type / Status
Subject Operation Ha-Go E303378 entity
Predicate commander P1061 FINISHED
Object Mutaguchi Renya NE NERFINISHED

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: Mutaguchi Renya | Statement: [Operation Ha-Go, commander, Mutaguchi Renya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutaguchi Renya
Context triple: [Operation Ha-Go, commander, Mutaguchi Renya]
  • A. Mutaguchi Renya chosen
    Mutaguchi Renya was a Japanese general best known for commanding the ill-fated Imphal offensive in Burma during World War II.
  • B. Yamaguchi Naoyoshi
    Yamaguchi Naoyoshi was a Japanese statesman of the early Meiji era who took part in Japan’s modernization efforts, including its landmark diplomatic and study tour abroad.
  • C. Kuribayashi Taro
    Kuribayashi Taro is the son of Japanese General Tadamichi Kuribayashi, the famed commander of Japanese forces during the World War II Battle of Iwo Jima.
  • D. Takehara Saburo
    Takehara Saburo was a Japanese military officer known for commanding Imperial Japanese forces during the World War II Battle of Toungoo in Burma.
  • E. Shinpei Hayashiya
    Shinpei Hayashiya is a Japanese rakugo performer and voice actor known for his energetic storytelling and roles in popular anime series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
Created at: April 9, 2026, 5:22 p.m.