Triple

T20260987
Position Surface form Disambiguated ID Type / Status
Subject Tetsuzo Fuyushiba E498833 entity
Predicate givenName P17 FINISHED
Object Tetsuzo
Tetsuzo is a Japanese given name most notably borne by Tetsuzo Fuyushiba, a former Japanese politician and cabinet minister.
 E1465682 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: Tetsuzo | Statement: [Tetsuzo Fuyushiba, givenName, Tetsuzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tetsuzo
Context triple: [Tetsuzo Fuyushiba, givenName, Tetsuzo]
  • A. Tetsuzō
    Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
  • B. Toshiki
    Toshiki is a Japanese masculine given name borne by various notable individuals in politics, entertainment, and sports.
  • C. Tsunenori
    Tsunenori is the birth name of Masaoka Shiki, a pivotal Japanese poet and literary critic who modernized haiku and tanka in the Meiji era.
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • 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: Tetsuzo
Triple: [Tetsuzo Fuyushiba, givenName, Tetsuzo]
Generated description
Tetsuzo is a Japanese given name most notably borne by Tetsuzo Fuyushiba, a former Japanese politician and cabinet minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tetsuzo
Target entity description: Tetsuzo is a Japanese given name most notably borne by Tetsuzo Fuyushiba, a former Japanese politician and cabinet minister.
  • A. Tetsuzō
    Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
  • B. Toshiki
    Toshiki is a Japanese masculine given name borne by various notable individuals in politics, entertainment, and sports.
  • C. Tsunenori
    Tsunenori is the birth name of Masaoka Shiki, a pivotal Japanese poet and literary critic who modernized haiku and tanka in the Meiji era.
  • D. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • E. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ca77c081909cd2f44ccfe3662d completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a095a3e3f448190b06f8d189fb7dfc5 completed May 17, 2026, 6:03 a.m.
NEDg Description generation batch_6a095ab1e4e08190ac86e53ccee269f3 completed May 17, 2026, 6:05 a.m.
NED2 Entity disambiguation (via description) batch_6a095b71e4c08190a41566557503b9a8 completed May 17, 2026, 6:08 a.m.
Created at: April 11, 2026, 11:41 p.m.