Triple
T16504529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuki Satō (name) |
E400888
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Yuki Satō (ski jumper) |
E400888
|
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: Yuki Satō (ski jumper) | Statement: [Yuki Satō (name), hasNotableBearer, Yuki Satō (ski jumper)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuki Satō (ski jumper) Context triple: [Yuki Satō (name), hasNotableBearer, Yuki Satō (ski jumper)]
-
A.
Yuzuru Watanabe
Yuzuru Watanabe was a Japanese architect known for his work on prominent modern buildings in Japan, including the Imperial Hotel in Tokyo.
-
B.
Katsumi Ohno
Katsumi Ohno is a Japanese mathematician known for his contributions to number theory and related fields.
-
C.
Yosaki Takahashi
Yosaki Takahashi is a Japanese politician who serves as the mayor of Kawagoe in Saitama Prefecture.
-
D.
Yuki Satō
chosen
Yuki Satō is a Japanese name shared by multiple notable individuals, including athletes and entertainers, distinguished in their respective fields.
-
E.
Yuzuru Hiraga
Yuzuru Hiraga was a prominent Japanese naval architect and engineer known for designing innovative warships for the Imperial Japanese Navy in the early 20th century.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e5100e48190a623d6ee2fefb87e |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058305e308190a22cbd03daec53aa |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.