Triple

T7238914
Position Surface form Disambiguated ID Type / Status
Subject Takeo Fujisawa E155304 entity
Predicate givenName P17 FINISHED
Object Takeo
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
 E661361 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: Takeo | Statement: [Takeo Fujisawa, givenName, Takeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takeo
Context triple: [Takeo Fujisawa, givenName, Takeo]
  • A. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Keisuke
    Keisuke is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as sports, entertainment, and politics.
  • 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: Takeo
Triple: [Takeo Fujisawa, givenName, Takeo]
Generated description
Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takeo
Target entity description: Takeo is a Japanese given name commonly used for males and borne by various notable figures in fields such as politics, business, and the arts.
  • A. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • D. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • E. Keisuke
    Keisuke is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as sports, entertainment, and politics.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea368fb88190bd9e991e8b94dac6 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810b4a2fc8190bd1dd7dd8cac28c7 completed March 28, 2026, 5:32 p.m.
NEDg Description generation batch_69c811e0ebec8190b394b1a2ff6ac5bf completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c8127599188190af3d049a0c6dd349 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 2:55 p.m.