Triple

T8651265
Position Surface form Disambiguated ID Type / Status
Subject Takeo Kurita E205103 entity
Predicate givenName P17 FINISHED
Object Takeo E661361 NE FINISHED

How this triple was built (2 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 Kurita, givenName, Takeo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeo
Context triple: [Takeo Kurita, givenName, Takeo]
  • A. Takeo chosen
    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.
  • B. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. 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.
  • E. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1495b3081909be160d97179b6e1 completed April 4, 2026, 6:35 a.m.
Created at: March 30, 2026, 6:29 p.m.