Triple

T13280172
Position Surface form Disambiguated ID Type / Status
Subject Operation Flintlock E316298 entity
Predicate JapaneseCommander P1698 FINISHED
Object Monzo Akiyama E507726 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: Monzo Akiyama | Statement: [Operation Flintlock, JapaneseCommander, Monzo Akiyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monzo Akiyama
Context triple: [Operation Flintlock, JapaneseCommander, Monzo Akiyama]
  • A. Monzo Akiyama chosen
    Monzo Akiyama was an Imperial Japanese Navy officer who commanded Japanese forces during World War II, notably in the Pacific campaign.
  • B. Yuitsu Tsuchihashi
    Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
  • C. Ine Kusumoto
    Ine Kusumoto was one of Japan’s first female physicians and a pioneering figure in the introduction of Western medicine to Japan in the 19th century.
  • D. Hisako Nagayama
    Hisako Nagayama was the wife of Japanese general Tomoyuki Yamashita, who was a prominent military leader during World War II.
  • E. Shiro Nakamura
    Shiro Nakamura is a renowned Japanese automobile designer best known for his influential work at Nissan, where he shaped the brand’s modern performance and production car lineup.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904507588190a303686d176ec3e1 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f76b9a5e388190ab75b9f476216894 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 9:27 p.m.