Triple

T16621100
Position Surface form Disambiguated ID Type / Status
Subject Yui Satō E403828 entity
Predicate nameStructure P2555 FINISHED
Object Yui is the given name
Yui is a feminine Japanese given name that can be written with various kanji characters, often conveying meanings related to connection, gentleness, or clothing.
 E1225024 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: Yui is the given name | Statement: [Yui Satō, nameStructure, Yui is the given name]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yui is the given name
Context triple: [Yui Satō, nameStructure, Yui is the given name]
  • A. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • B. Yui Rail
    Yui Rail is an urban monorail system serving Naha and surrounding areas in Okinawa, Japan.
  • C. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • D. Yang
    Yang is a common Chinese surname with deep historical roots and widespread use across Chinese-speaking communities.
  • E. Rui
    Rui is a common Portuguese given name typically used for males.
  • 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: Yui is the given name
Triple: [Yui Satō, nameStructure, Yui is the given name]
Generated description
Yui is a feminine Japanese given name that can be written with various kanji characters, often conveying meanings related to connection, gentleness, or clothing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yui is the given name
Target entity description: Yui is a feminine Japanese given name that can be written with various kanji characters, often conveying meanings related to connection, gentleness, or clothing.
  • A. Yukie
    Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
  • B. Yui Rail
    Yui Rail is an urban monorail system serving Naha and surrounding areas in Okinawa, Japan.
  • C. Yei
    Yei is a town in southwestern South Sudan that serves as a regional hub near the borders with Uganda and the Democratic Republic of the Congo.
  • D. Yang
    Yang is a common Chinese surname with deep historical roots and widespread use across Chinese-speaking communities.
  • E. Rui
    Rui is a common Portuguese given name typically used for males.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754d6b4c81908eab5210c386ea15 completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007db27f788190a3c57b7ea8a8a9c6 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007eaca31081909cc81e73af61f2f0 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007fde282c81909c9e7b210dd6e715 completed May 10, 2026, 12:53 p.m.
Created at: April 10, 2026, 5:17 a.m.