Triple

T10941484
Position Surface form Disambiguated ID Type / Status
Subject Kuroda Kiyotaka E258483 entity
Predicate givenName P17 FINISHED
Object Kiyotaka
Kiyotaka is a Japanese given name commonly used for males and borne by various notable figures in Japan.
 E930302 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: Kiyotaka | Statement: [Kuroda Kiyotaka, givenName, Kiyotaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiyotaka
Context triple: [Kuroda Kiyotaka, givenName, Kiyotaka]
  • A. Yoshihisa
    Yoshihisa is a Japanese given name commonly used for males.
  • B. Kuniaki
    Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
  • 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. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • E. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • 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: Kiyotaka
Triple: [Kuroda Kiyotaka, givenName, Kiyotaka]
Generated description
Kiyotaka is a Japanese given name commonly used for males and borne by various notable figures in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiyotaka
Target entity description: Kiyotaka is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • A. Yoshihisa
    Yoshihisa is a Japanese given name commonly used for males.
  • B. Kuniaki
    Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
  • 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. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • E. Kenjirō
    Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c33a7c8190b3347944f68ee431 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e623e44c188190b5b83cf8f397554c completed April 20, 2026, 1:02 p.m.
NEDg Description generation batch_69e62aee8fb88190b5973c61e692087f completed April 20, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69e67394e7f081908fcc602c84eb4a65 completed April 20, 2026, 6:42 p.m.
Created at: April 8, 2026, 9:23 p.m.