Triple

T20050103
Position Surface form Disambiguated ID Type / Status
Subject Yoshihiro Ushijima E499172 entity
Predicate givenName P17 FINISHED
Object Yoshihiro
Yoshihiro is a masculine Japanese given name commonly borne by notable figures in fields such as sports, entertainment, and academia.
E935335 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: Yoshihiro | Statement: [Yoshihiro Ushijima, givenName, Yoshihiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoshihiro
Context triple: [Yoshihiro Ushijima, givenName, Yoshihiro]
  • A. Yoshihiro
    Yoshihiro is the Japanese given name of the political scientist and author Francis Fukuyama.
  • B. Yoshihiro Nakamura
    Yoshihiro Nakamura is a Japanese film director and screenwriter known for his character-driven dramas and mystery films such as "Fish Story" and "Golden Slumber."
  • C. Hironobu
    Hironobu is a Japanese given name commonly used for males.
  • D. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • E. Kazuhiko
    Kazuhiko is a Japanese given name commonly 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: Yoshihiro
Triple: [Yoshihiro Ushijima, givenName, Yoshihiro]
Generated description
Yoshihiro is a masculine Japanese given name commonly borne by notable figures in fields such as sports, entertainment, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yoshihiro
Target entity description: Yoshihiro is a masculine Japanese given name commonly borne by notable figures in fields such as sports, entertainment, and academia.
  • A. Yoshihiro chosen
    Yoshihiro is the Japanese given name of the political scientist and author Francis Fukuyama.
  • B. Yoshihiro Nakamura
    Yoshihiro Nakamura is a Japanese film director and screenwriter known for his character-driven dramas and mystery films such as "Fish Story" and "Golden Slumber."
  • C. Hironobu
    Hironobu is a Japanese given name commonly used for males.
  • D. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • E. Kazuhiko
    Kazuhiko is a Japanese given name commonly used for males.
  • F. None of above.

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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632d9d888190b0985bb5ed989311 completed April 20, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08345d1d2c819091d568a3f8603c16 completed May 16, 2026, 9:09 a.m.
NEDg Description generation batch_6a0834ed79488190aca4ec32a3c0763e completed May 16, 2026, 9:12 a.m.
NED2 Entity disambiguation (via description) batch_6a08358d52a08190b4361485744c774c completed May 16, 2026, 9:14 a.m.
Created at: April 11, 2026, 3:37 p.m.