Triple

T17116107
Position Surface form Disambiguated ID Type / Status
Subject Kuniaki Takizaki E415342 entity
Predicate familyName P18 FINISHED
Object Takizaki
Takizaki is a Japanese surname borne by various individuals across fields such as sports, entertainment, and academia.
 E1559658 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: Takizaki | Statement: [Kuniaki Takizaki, familyName, Takizaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takizaki
Context triple: [Kuniaki Takizaki, familyName, Takizaki]
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • C. Takahira
    Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
  • D. Takahira
    Takahira is a Japanese surname most notably associated with diplomat Kogorō Takahira, who served as Japan’s ambassador to the United States in the early 20th century.
  • E. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • 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: Takizaki
Triple: [Kuniaki Takizaki, familyName, Takizaki]
Generated description
Takizaki is a Japanese surname borne by various individuals across fields such as sports, entertainment, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takizaki
Target entity description: Takizaki is a Japanese surname borne by various individuals across fields such as sports, entertainment, and academia.
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Takizawa
    Takizawa is a city in northeastern Japan known for its rural landscapes and proximity to the regional center of Morioka in Iwate Prefecture.
  • C. Takahira
    Takahira was the personal name of Emperor Go-Toba, a late 12th- to early 13th-century Japanese emperor known for his political struggles with the shogunate and his patronage of the arts.
  • D. Takahira
    Takahira is a Japanese surname most notably associated with diplomat Kogorō Takahira, who served as Japan’s ambassador to the United States in the early 20th century.
  • E. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80660048190832d8f91415dd7d7 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9a3f4b081909478df83d6ff60c1 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb7ae63c8190b354049d60f310e5 completed May 19, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbbd421c48190a7202f2662b21011 completed May 19, 2026, 1:24 a.m.
Created at: April 10, 2026, 5:35 a.m.