Triple

T16504522
Position Surface form Disambiguated ID Type / Status
Subject Yuki Satō (name) E400888 entity
Predicate hasComponent P35 FINISHED
Object Yuki
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.
 E1220173 NE FINISHED

How this triple was built (4 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), hasComponent, Yuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuki
Context triple: [Yuki Satō (name), hasComponent, Yuki]
  • A. 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.
  • B. Yuko
    Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
  • C. Yuko
    Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
  • D. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • E. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuki
Triple: [Yuki Satō (name), hasComponent, Yuki]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuki
Target entity description: 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.
  • A. 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.
  • B. Yuko
    Yuko is an alternate name for the Yukpa language, an indigenous language spoken by the Yukpa people of Colombia and Venezuela.
  • C. Yuko
    Yuko is a common Japanese feminine given name borne by numerous notable figures in fields such as entertainment, sports, and the arts.
  • D. Koyuki
    Koyuki is a Japanese actress and model best known internationally for her role opposite Tom Cruise in the film "The Last Samurai."
  • E. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • F. None of above. chosen

Provenance (5 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_6a0067a31c8881909b05c49c8006785d completed May 10, 2026, 11:10 a.m.
NEDg Description generation batch_6a006bbe84b481908814dea1519bba84 completed May 10, 2026, 11:27 a.m.
NED2 Entity disambiguation (via description) batch_6a006c0e8ff0819084b4b02b49db0386 completed May 10, 2026, 11:29 a.m.
Created at: April 10, 2026, 5:14 a.m.