Triple
T21976485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenzo Takada |
E542718
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kenzo Takada |
—
|
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: Kenzo Takada | Statement: [Kenzo Takada, name, Kenzo Takada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenzo Takada Context triple: [Kenzo Takada, name, Kenzo Takada]
-
A.
Kenzo Takada
chosen
Kenzo Takada was a pioneering Japanese fashion designer who founded the Paris-based luxury brand Kenzo, known for its vibrant prints and East-meets-West aesthetic.
-
B.
Kenzo Kitakata
Kenzo Kitakata is a Japanese crime and hardboiled novelist renowned for his gritty, psychologically rich portrayals of yakuza and urban underworld life.
-
C.
Kenzo Yashima
Kenzo Yashima is a person notable for bearing the Japanese given name Kenzo.
-
D.
Kenzo Nakamura
Kenzo Nakamura is a Japanese judoka and Olympic gold medalist known for his achievements in the lightweight divisions during the 1990s.
-
E.
Kenzō Saeki
Kenzō Saeki is a Japanese individual notable enough to be recognized as a prominent bearer of the given name Kenzo.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124886418819091daed0988432350 |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.