Triple

T17759123
Position Surface form Disambiguated ID Type / Status
Subject Kiyoshi Shiga E443322 entity
Predicate givenName P17 FINISHED
Object Kiyoshi
Kiyoshi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, arts, and sports.
 E1348692 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: Kiyoshi | Statement: [Kiyoshi Shiga, givenName, Kiyoshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiyoshi
Context triple: [Kiyoshi Shiga, givenName, Kiyoshi]
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • C. Koichi
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • D. Kinnosuke
    Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
  • E. Shinnosuke
    Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
  • 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: Kiyoshi
Triple: [Kiyoshi Shiga, givenName, Kiyoshi]
Generated description
Kiyoshi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, arts, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiyoshi
Target entity description: Kiyoshi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, arts, and sports.
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • C. Koichi
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • D. Kinnosuke
    Kinnosuke is the given name of the renowned Japanese novelist Natsume Sōseki, a central figure in modern Japanese literature.
  • E. Shinnosuke
    Shinnosuke is a character from the Pokémon anime series, known as a young boy appearing in the episode "The Heartbreak of Brock."
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48420ad188190aeb0f4ec1d23ee5c completed April 19, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a058296efe481908e5a19acc0d0b738 completed May 14, 2026, 8:06 a.m.
NEDg Description generation batch_6a05866776d881909723e694ab9a8674 completed May 14, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0586f85a448190becf166dbc584a1f completed May 14, 2026, 8:25 a.m.
Created at: April 10, 2026, 10:10 a.m.