Triple
T22978479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiromi |
E571390
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Uehara |
—
|
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: Uehara | Statement: [Hiromi, familyName, Uehara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uehara Context triple: [Hiromi, familyName, Uehara]
-
A.
Uehara
chosen
Uehara is a Japanese surname most notably associated with acclaimed jazz pianist and composer Hiromi Uehara.
-
B.
Uehara
Uehara is a small coastal settlement on Iriomote Island in Okinawa Prefecture, Japan, serving as one of the island’s primary population and transport hubs.
-
C.
Uchihara
Uchihara is a Japanese town known internationally through its sister-city partnership with the historic German city of Rothenburg ob der Tauber.
-
D.
Fukuhara
Fukuhara was a historical port district in present-day Kobe, Japan, that briefly served as the seat of the imperial court and political center during the late Heian period.
-
E.
Matsugaya
Matsugaya is a neighborhood in Tokyo’s Taitō ward known for its traditional shitamachi atmosphere and proximity to Asakusa.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18293f830819095cca91af7abd742 |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.