Triple

T7126666
Position Surface form Disambiguated ID Type / Status
Subject Kirino Toshiaki E166079 entity
Predicate givenName P17 FINISHED
Object Toshiaki
Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
 E659566 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: Toshiaki | Statement: [Kirino Toshiaki, givenName, Toshiaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toshiaki
Context triple: [Kirino Toshiaki, givenName, Toshiaki]
  • A. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • B. Takashi
    Takashi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as arts, sports, and entertainment.
  • C. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • D. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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: Toshiaki
Triple: [Kirino Toshiaki, givenName, Toshiaki]
Generated description
Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toshiaki
Target entity description: Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • A. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • B. Takashi
    Takashi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as arts, sports, and entertainment.
  • C. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • D. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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_69c6888350588190870cd552b427a1cd completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e64ee8ac81909ee1c7cb1db3af33 completed March 27, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802a126e081908ca3074b636764d1 completed March 28, 2026, 4:32 p.m.
NEDg Description generation batch_69c8032a62a08190a047d4945543bc6c completed March 28, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69c8039fce888190bbda8cdaa041310c completed March 28, 2026, 4:36 p.m.
Created at: March 27, 2026, 2:44 p.m.