Triple

T19899901
Position Surface form Disambiguated ID Type / Status
Subject Kaoru Ushijima E478254 entity
Predicate hasGivenName P17 FINISHED
Object Kaoru 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: Kaoru | Statement: [Kaoru Ushijima, hasGivenName, Kaoru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaoru
Context triple: [Kaoru Ushijima, hasGivenName, Kaoru]
  • A. Kaoru chosen
    Kaoru is a central character in the later chapters of the classic Japanese novel "The Tale of Genji," known for his gentle nature and complex romantic entanglements.
  • B. Kaoru Ushijima
    Kaoru Ushijima is a Japanese individual notable enough to be recognized as a namesake of the surname Ushijima.
  • C. Kuranosuke
    Kuranosuke is the given name of Ōishi Kuranosuke, the historical leader of the Forty-seven rōnin in early 18th-century Japan.
  • D. Shinnosuke
    Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
  • E. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65940cf8c8190b74e51635410e48a completed April 20, 2026, 4:50 p.m.
Created at: April 10, 2026, 1:52 p.m.