Triple

T20847353
Position Surface form Disambiguated ID Type / Status
Subject Mitsuko Uchida E513263 entity
Predicate givenName P17 FINISHED
Object Mitsuko
Mitsuko is a Japanese-born British classical pianist renowned for her interpretations of Mozart, Schubert, and Beethoven.
E1577300 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: Mitsuko | Statement: [Mitsuko Uchida, givenName, Mitsuko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsuko
Context triple: [Mitsuko Uchida, givenName, Mitsuko]
  • A. Mitsuko Baisho
    Mitsuko Baisho is a Japanese actress known for her acclaimed performances in film and television, including roles in the works of director Akira Kurosawa.
  • B. Nobuko
    Nobuko is a Japanese feminine given name commonly borne by women of noble or imperial background.
  • C. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • D. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • E. Etsuko
    Etsuko is the introspective Japanese woman and unreliable narrator at the center of Kazuo Ishiguro’s novel "A Pale View of Hills," reflecting on her past in postwar Nagasaki and the complexities of memory and loss.
  • 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: Mitsuko
Triple: [Mitsuko Uchida, givenName, Mitsuko]
Generated description
Mitsuko is a Japanese-born British classical pianist renowned for her interpretations of Mozart, Schubert, and Beethoven.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mitsuko
Target entity description: Mitsuko is a Japanese-born British classical pianist renowned for her interpretations of Mozart, Schubert, and Beethoven.
  • A. Mitsuko Baisho
    Mitsuko Baisho is a Japanese actress known for her acclaimed performances in film and television, including roles in the works of director Akira Kurosawa.
  • B. Nobuko
    Nobuko is a Japanese feminine given name commonly borne by women of noble or imperial background.
  • C. Sachiko
    Sachiko is a Japanese feminine given name that can be written with various kanji combinations, often conveying meanings related to happiness or child.
  • D. Yoshiko
    Yoshiko is a feminine Japanese given name commonly used across various generations and often associated with traditional Japanese culture.
  • E. Etsuko
    Etsuko is the introspective Japanese woman and unreliable narrator at the center of Kazuo Ishiguro’s novel "A Pale View of Hills," reflecting on her past in postwar Nagasaki and the complexities of memory and loss.
  • 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c351300c8190a4ec2eb430f0c23d completed April 21, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f2817688190abd9a0a022ac618c completed May 19, 2026, 10:44 a.m.
NEDg Description generation batch_6a0c4043d00481908f8d72d80c8ec692 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40d700188190a34ad429ec84e710 completed May 19, 2026, 10:52 a.m.
Created at: April 16, 2026, 12:43 p.m.