Triple
T17143334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rina Satō |
E416024
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rina Satō |
E416024
|
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: Rina Satō | Statement: [Rina Satō, name, Rina Satō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rina Satō Context triple: [Rina Satō, name, Rina Satō]
-
A.
Rina Satō
chosen
Rina Satō is a Japanese voice actress known for her roles in numerous anime series, video games, and other media.
-
B.
Ayako Sato
Ayako Sato is a Japanese individual whose name is commonly rendered in the Latin alphabet as "Ayako Sato."
-
C.
Yuki Satō
Yuki Satō is a Japanese name shared by multiple notable individuals, including athletes and entertainers, distinguished in their respective fields.
-
D.
Atsuko Tanaka
Atsuko Tanaka was a pioneering Japanese avant-garde artist associated with the Gutai group, best known for her experimental paintings and iconic "Electric Dress" made of illuminated bulbs and wires.
-
E.
Miyako Fujitani
Miyako Fujitani is a Japanese aikido instructor and former actress best known as Steven Seagal’s first wife and a key figure in his early martial arts career in Japan.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d73c3c81908b875023bb925edb |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e224826081909acf33358b0f9fa9 |
completed | May 13, 2026, 2:29 a.m. |
Created at: April 10, 2026, 5:36 a.m.