Triple

T4130328
Position Surface form Disambiguated ID Type / Status
Subject 長 勇 E85023 entity
Predicate name P16 FINISHED
Object Isamu Chō E13386 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: Isamu Chō | Statement: [長 勇, name, Isamu Chō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isamu Chō
Context triple: [長 勇, name, Isamu Chō]
  • A. Isamu Chō chosen
    Isamu Chō was an Imperial Japanese Army general known for his extreme nationalism and key leadership role in Japan’s final World War II battles, including the defense of Okinawa.
  • B. Isamu Yokoyama
    Isamu Yokoyama was an Imperial Japanese Army general who played a prominent leadership role in major early Second Sino-Japanese War operations.
  • C. Tadao Kashio
    Tadao Kashio was a Japanese engineer and entrepreneur best known for co-founding Casio and pioneering innovative electronic calculators and consumer electronics.
  • D. Isamu
    Isamu is a Japanese given name commonly used for males, often associated with meanings related to courage or bravery.
  • E. Ryoji Noyori
    Ryoji Noyori is a Japanese chemist and Nobel laureate renowned for his pioneering work in asymmetric catalysis and its applications in organic synthesis.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af021e3d6481909b47fdd98e9e4946 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576bf503c8190be44139a908ee42d completed March 14, 2026, 2:54 p.m.
Created at: March 9, 2026, 3:42 p.m.