Triple

T4745933
Position Surface form Disambiguated ID Type / Status
Subject Hiroshi Sugimoto E105360 entity
Predicate givenName P17 FINISHED
Object Hiroshi
Hiroshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as art, politics, and entertainment.
 E483914 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: Hiroshi | Statement: [Hiroshi Sugimoto, givenName, Hiroshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hiroshi
Context triple: [Hiroshi Sugimoto, givenName, Hiroshi]
  • A. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • B. Hirofumi
    Hirofumi is a Japanese given name commonly borne by men, including notable contemporary politicians.
  • C. ヒデキ
    ヒデキ is a common Japanese male given name, often written in katakana and associated with various public figures and entertainers in Japan.
  • D. Daisuke
    Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
  • E. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • 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: Hiroshi
Triple: [Hiroshi Sugimoto, givenName, Hiroshi]
Generated description
Hiroshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as art, politics, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hiroshi
Target entity description: Hiroshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as art, politics, and entertainment.
  • A. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • B. Hirofumi
    Hirofumi is a Japanese given name commonly borne by men, including notable contemporary politicians.
  • C. ヒデキ
    ヒデキ is a common Japanese male given name, often written in katakana and associated with various public figures and entertainers in Japan.
  • D. Daisuke
    Daisuke is a common Japanese masculine given name used by various notable figures in entertainment, sports, and other fields.
  • E. Hisashi
    Hisashi is a Japanese masculine given name borne by various notable individuals in fields such as law, politics, sports, and the arts.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ab946481909eccdb3e8c5d1f6a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89c899f08190bb8227b13a90185d completed March 21, 2026, 12:06 p.m.
NEDg Description generation batch_69be8a6ee7e88190a32719c5b7e3f670 completed March 21, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69be8ade1d448190b459ee0261e904b0 completed March 21, 2026, 12:11 p.m.
Created at: March 20, 2026, 1:20 p.m.