Triple

T905579
Position Surface form Disambiguated ID Type / Status
Subject Empress Kōjun E19540 entity
Predicate givenName P17 FINISHED
Object Nagako E75625 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: Nagako | Statement: [Empress Kōjun, givenName, Nagako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagako
Context triple: [Empress Kōjun, givenName, Nagako]
  • A. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • B. Nagako Kuni chosen
    Nagako Kuni, later known as Empress Kōjun, was the wife of Emperor Shōwa (Hirohito) and the longest-serving empress consort in Japanese history.
  • C. Yanagihara Naruko
    Yanagihara Naruko was a Japanese noblewoman and concubine of Emperor Meiji, best known as the mother of Emperor Taishō.
  • D. Takako Doi
    Takako Doi was a pioneering Japanese politician who became the first female Speaker of the House of Representatives and a prominent leader of Japan’s socialist and opposition politics in the late 20th century.
  • E. Shōhō
    Shōhō was a Japanese light aircraft carrier of the Imperial Japanese Navy during World War II, notable for being the first Japanese carrier sunk in the war during the Battle of the Coral Sea.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2caf4088190ab05b22531ecec43 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac82f25c088190ae32593e6edbb8d0 completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:39 p.m.