Triple

T13174285
Position Surface form Disambiguated ID Type / Status
Subject Koyama Mihoko E313059 entity
Predicate givenName P17 FINISHED
Object Mihoko
Mihoko is a Japanese feminine given name that can be written with various kanji combinations, often carrying meanings related to beauty, grace, or abundance.
 E1026415 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: Mihoko | Statement: [Koyama Mihoko, givenName, Mihoko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mihoko
Context triple: [Koyama Mihoko, givenName, Mihoko]
  • A. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • B. Masako
    Masako is the Empress of Japan, a former diplomat and Harvard-educated member of the Imperial House known for her international background and public role.
  • C. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • D. Haruko
    Haruko, better known as Empress Shōken, was the consort of Emperor Meiji and a prominent Japanese empress noted for her support of modernization and social welfare.
  • E. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • 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: Mihoko
Triple: [Koyama Mihoko, givenName, Mihoko]
Generated description
Mihoko is a Japanese feminine given name that can be written with various kanji combinations, often carrying meanings related to beauty, grace, or abundance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mihoko
Target entity description: Mihoko is a Japanese feminine given name that can be written with various kanji combinations, often carrying meanings related to beauty, grace, or abundance.
  • A. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • B. Masako
    Masako is the Empress of Japan, a former diplomat and Harvard-educated member of the Imperial House known for her international background and public role.
  • C. Yuriko
    Yuriko is the given name of Japanese actress Rinko Kikuchi, known for her roles in films such as "Babel" and "Pacific Rim."
  • D. Haruko
    Haruko, better known as Empress Shōken, was the consort of Emperor Meiji and a prominent Japanese empress noted for her support of modernization and social welfare.
  • E. Naoko
    Naoko is a central, emotionally fragile character in Haruki Murakami’s story "Norwegian Wood," whose complex relationship with the protagonist explores themes of love, loss, and mental illness.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c303e3c819086cf0f0b6d9e61ca completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5e5eacc8190ae39dcdb12c9b563 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6ba509c8190a99426ba4506d31f completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f812ae048190907b8def6b0d019c completed May 3, 2026, 7:24 a.m.
Created at: April 9, 2026, 9:14 p.m.