Triple

T19604555
Position Surface form Disambiguated ID Type / Status
Subject Toshiki Kaifu E470570 entity
Predicate givenName P17 FINISHED
Object Toshiki
Toshiki is a Japanese masculine given name borne by various notable individuals in politics, entertainment, and sports.
E1436682 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: Toshiki | Statement: [Toshiki Kaifu, givenName, Toshiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toshiki
Context triple: [Toshiki Kaifu, givenName, Toshiki]
  • A. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • B. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • C. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • D. Tokihito
    Tokihito, better known as Emperor Antoku, was a child emperor of Japan whose short reign ended tragically with his death during the Genpei War and the fall of the Taira clan.
  • E. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, 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: Toshiki
Triple: [Toshiki Kaifu, givenName, Toshiki]
Generated description
Toshiki is a Japanese masculine given name borne by various notable individuals in politics, entertainment, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toshiki
Target entity description: Toshiki is a Japanese masculine given name borne by various notable individuals in politics, entertainment, and sports.
  • A. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • B. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • C. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • D. Tokihito
    Tokihito, better known as Emperor Antoku, was a child emperor of Japan whose short reign ended tragically with his death during the Genpei War and the fall of the Taira clan.
  • E. Shinpei
    Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c6cb3c819096b8093499d8e1ad completed April 20, 2026, 3:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a5472558819086087f605a30100f completed May 16, 2026, 5:11 p.m.
NEDg Description generation batch_6a08a6799f2081909a1c2c1088ca4908 completed May 16, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a08a7204e888190b3541c359e17e599 completed May 16, 2026, 5:19 p.m.
Created at: April 10, 2026, 1:43 p.m.