Triple

T1562482
Position Surface form Disambiguated ID Type / Status
Subject Invasion of Rabaul E33356 entity
Predicate commander P1061 FINISHED
Object Shigeyoshi Inoue E57542 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: Shigeyoshi Inoue | Statement: [Invasion of Rabaul, commander, Shigeyoshi Inoue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shigeyoshi Inoue
Context triple: [Invasion of Rabaul, commander, Shigeyoshi Inoue]
  • A. Shigeyoshi Inoue chosen
    Shigeyoshi Inoue was an admiral in the Imperial Japanese Navy during World War II, noted for his leadership in early Pacific naval operations.
  • B. Hirofumi Yoshimura
    Hirofumi Yoshimura is a Japanese politician who serves as the governor of Osaka Prefecture and is a prominent figure in regional reform politics.
  • C. Tatsuhiko Kawashima
    Tatsuhiko Kawashima is a Japanese academic and former professor best known as the father of Princess Kiko of the Japanese Imperial Family.
  • D. Shigetarō Shimada
    Shigetarō Shimada was an admiral in the Imperial Japanese Navy who served as Navy Minister and a key naval leader during World War II.
  • E. Hirofumi Hirano
    Hirofumi Hirano is a Japanese politician who has held senior leadership roles in major opposition parties and served in the national legislature.
  • 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_69a885ef9cf48190b0af0f5ce3d02231 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908886efc8190a630ef1e06d0d9cb completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69b36067f47881908de481e1350bcaff completed March 13, 2026, 12:55 a.m.
Created at: March 4, 2026, 7:27 p.m.