Triple
T17851510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ueki |
E445815
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Ueki Emori |
—
|
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: Ueki Emori | Statement: [Ueki, hasNotableBearer, Ueki Emori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueki Emori Context triple: [Ueki, hasNotableBearer, Ueki Emori]
-
A.
Ueki Emori
chosen
Ueki Emori was a prominent Japanese political activist and thinker of the Meiji era, known for his influential advocacy of liberal democracy and civil rights.
-
B.
Yuitsu Tsuchihashi
Yuitsu Tsuchihashi was a Japanese general who played a key leadership role in Japan’s military operations in French Indochina during World War II.
-
C.
Yukiye Kitahara
Yukiye Kitahara is known as the wife of actor Pat Morita, famed for his role as Mr. Miyagi in "The Karate Kid" series.
-
D.
Shijo Ohashi
Shijo Ohashi is a major bridge in central Kyoto, Japan, serving as a key crossing and landmark near the bustling Shijo district.
-
E.
Nikaido Kazumi
Nikaido Kazumi is a Japanese singer and experimental musician known for her eclectic, genre-blending work and collaborations in the avant-garde and indie music scenes.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48fff6c288190a2b5e60b66c03ddc |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.