Triple
T21976486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenzo Takada |
E542718
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kenzo |
—
|
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 | Statement: [Kenzo Takada, givenName, Kenzo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenzo Context triple: [Kenzo Takada, givenName, Kenzo]
-
A.
Kenzo
chosen
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
-
B.
Givenchy
Givenchy is a renowned French luxury fashion and perfume house known for its haute couture, ready-to-wear collections, and iconic collaborations with celebrities and models.
-
C.
St. Laurent
St. Laurent is the surname of Louis St. Laurent, who served as the 12th prime minister of Canada in the mid-20th century.
-
D.
St. Laurent
St. Laurent is a dark-skinned Austrian red wine grape variety known for producing deeply colored, aromatic wines with cherry and berry flavors, often compared in style to Pinot Noir.
-
E.
Saint Laurent
Saint Laurent is a luxury French fashion house renowned for its high-end ready-to-wear, leather goods, shoes, and accessories.
- 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.