Triple
T22515101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shu Uemura |
E556623
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Shu Uemura |
—
|
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: Shu Uemura | Statement: [Shu Uemura, name, Shu Uemura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shu Uemura Context triple: [Shu Uemura, name, Shu Uemura]
-
A.
Shu Uemura
chosen
Shu Uemura was a pioneering Japanese makeup artist and founder of the eponymous cosmetics and beauty brand known for its artistry-driven, high-quality products.
-
B.
Ichimei Fukuda
Ichimei Fukuda is a Japanese-American man whose lifelong, forbidden love story with Alma Belasco forms the emotional core of Isabel Allende’s novel "The Japanese Lover."
-
C.
Jun Watanabe
Jun Watanabe is a Japanese name shared by several notable individuals, including professionals in fields such as sports, design, and entertainment.
-
D.
Masami Nakagawa
Masami Nakagawa is a Japanese physicist known as a prominent student and collaborator of theoretical physicist Shoichi Sakata.
-
E.
Yuki Yamada
Yuki Yamada is a Japanese actor known for his roles in film and television, including a prominent appearance in the kaiju movie "Godzilla Minus One."
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e2c3098819098a553133cc9515b |
completed | April 29, 2026, 1:26 a.m. |
Created at: April 16, 2026, 8:50 p.m.