Triple

T18315733
Position Surface form Disambiguated ID Type / Status
Subject Japanese American redress movement E438748 entity
Predicate focusesOn P31 FINISHED
Object Sansei 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: Sansei | Statement: [Japanese American redress movement, focusesOn, Sansei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sansei
Context triple: [Japanese American redress movement, focusesOn, Sansei]
  • A. Sansei chosen
    Sansei are third-generation Japanese Americans, typically the grandchildren of Japanese immigrants to the United States.
  • B. Seiyō Jijō
    Seiyō Jijō is an influential 19th-century work by Fukuzawa Yukichi that introduced and explained Western society, institutions, and ideas to a Japanese audience during the Meiji period.
  • C. Nisshoki
    Nisshoki, more commonly known as the Hinomaru, is the national flag of Japan featuring a red sun disc centered on a white field.
  • D. Shōda
    Shōda is a Japanese surname notably borne by Michiko Shōda, who became Empress Michiko of Japan.
  • E. Keihō
    Keihō is the primary criminal law code of Japan that defines offenses and their penalties.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021cc70c8190bf43bd75e4af7381 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.