Triple

T10763402
Position Surface form Disambiguated ID Type / Status
Subject North China Area Army E253889 entity
Predicate notableCommander P1197 FINISHED
Object Nobuyoshi Mutō E646296 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: Nobuyoshi Mutō | Statement: [North China Area Army, notableCommander, Nobuyoshi Mutō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nobuyoshi Mutō
Context triple: [North China Area Army, notableCommander, Nobuyoshi Mutō]
  • A. Nobuyoshi Mutō chosen
    Nobuyoshi Mutō was an Imperial Japanese Army general who played a leading command role in Japan’s early 1930s military campaigns in China.
  • B. Yūsaku Kamekura
    Yūsaku Kamekura was a pioneering Japanese graphic designer renowned for his modernist posters and visual identities, including iconic work for the 1964 Tokyo Olympics.
  • C. Tatsuo Miyajima
    Tatsuo Miyajima is a contemporary Japanese artist renowned for his LED-based installations that explore time, change, and the nature of existence.
  • D. Minoru Ōta
    Minoru Ōta was an Imperial Japanese Navy rear admiral who led the defense of the Oroku Peninsula during the Battle of Okinawa in World War II and became known for his final message praising the Okinawan people.
  • E. Yosuke Kubozuka
    Yosuke Kubozuka is a Japanese actor and former model known for his intense, unconventional performances in film and television, including prominent roles in works like "Go" and "Silence."
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a373708190ae5ac0c027a4014c completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3643a23481909103166abb6aaa4e completed May 9, 2026, 1:27 p.m.
Created at: April 8, 2026, 9:16 p.m.