Triple

T12057629
Position Surface form Disambiguated ID Type / Status
Subject Son Kee-chung E287082 entity
Predicate JapaneseName P744 FINISHED
Object Son Kitei E287071 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: Son Kitei | Statement: [Son Kee-chung, JapaneseName, Son Kitei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Son Kitei
Context triple: [Son Kee-chung, JapaneseName, Son Kitei]
  • A. Son Kitei chosen
    Son Kitei was the Korean-born marathon runner who won the gold medal for Japan at the 1936 Berlin Olympics, later symbolizing the complex colonial history between Korea and Japan.
  • B. Kiyotsune
    Kiyotsune is a classical Japanese Noh play attributed to Zeami Motokiyo, centered on the tragic fate and lingering spirit of the Taira warrior Taira no Kiyotsune.
  • C. Kinnosuke
    Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
  • D. Michitaka
    Michitaka is a Japanese given name that has been borne by various historical and contemporary figures.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3ee53c81909c2e4620a12a46da completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:47 p.m.