Triple

T16504525
Position Surface form Disambiguated ID Type / Status
Subject Yuki Satō (name) E400888 entity
Predicate givenName P17 FINISHED
Object Yuki E1220173 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: Yuki | Statement: [Yuki Satō (name), givenName, Yuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yuki
Context triple: [Yuki Satō (name), givenName, Yuki]
  • A. Yuki chosen
    Yuki is a Japanese given name commonly used for people of any gender, often associated with meanings like "snow" or "happiness" depending on the kanji used.
  • B. Yuki
    The Yuki are a Native American people indigenous to what is now Northern California, traditionally living in the upper Eel River region with distinct languages and cultural practices.
  • C. Yuko
    Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
  • D. Yuko
    Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
  • E. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e5100e48190a623d6ee2fefb87e completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed4a7008190ab1ad5cbf80dc119 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:14 a.m.