Triple

T20091986
Position Surface form Disambiguated ID Type / Status
Subject Katsuya Okada E496293 entity
Predicate givenName P17 FINISHED
Object Katsuya NE NERFINISHED

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: Katsuya | Statement: [Katsuya Okada, givenName, Katsuya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katsuya
Context triple: [Katsuya Okada, givenName, Katsuya]
  • A. Katsuya chosen
    Katsuya is a Japanese given name commonly used for males.
  • B. Katahito
    Katahito was the personal name of Emperor Go-Yōzei, a late 16th- to early 17th-century Japanese emperor of the Azuchi–Momoyama and early Edo periods.
  • C. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • D. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655edde08190a3f950e7f0c7cf9c completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:22 p.m.