Triple

T5971149
Position Surface form Disambiguated ID Type / Status
Subject Yoshiko Aso E132874 entity
Predicate givenName P17 FINISHED
Object Yoshiko
Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
 E597384 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: Yoshiko | Statement: [Yoshiko Aso, givenName, Yoshiko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yoshiko
Context triple: [Yoshiko Aso, givenName, Yoshiko]
  • A. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • B. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • C. Kazuko
    Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Toshiko Soma
    Toshiko Soma was the Japanese wife of Indian revolutionary Rashbehari Bose, known for supporting his anti-colonial activities while he lived in Japan.
  • 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: Yoshiko
Triple: [Yoshiko Aso, givenName, Yoshiko]
Generated description
Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yoshiko
Target entity description: Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • A. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • B. Shigeko
    Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
  • C. Kazuko
    Kazuko is a Japanese feminine given name commonly borne by women, including members of the imperial family.
  • D. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • E. Toshiko Soma
    Toshiko Soma was the Japanese wife of Indian revolutionary Rashbehari Bose, known for supporting his anti-colonial activities while he lived in Japan.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c049ff0eec8190834f77bafae943ce completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fa576888190a3fd0fb3eac72a3f completed March 27, 2026, 10:44 a.m.
NEDg Description generation batch_69c66032e6dc8190a6e250750c9dc88f completed March 27, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_69c660eb84b481909099ef2f473b296e completed March 27, 2026, 10:50 a.m.
Created at: March 22, 2026, 4:03 p.m.