Triple
T21722653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arashi |
E536198
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Satoshi Ohno |
—
|
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: Satoshi Ohno | Statement: [Arashi, hasMember, Satoshi Ohno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satoshi Ohno Context triple: [Arashi, hasMember, Satoshi Ohno]
-
A.
Satoshi Ohno
chosen
Satoshi Ohno is a Japanese singer, actor, and leader of the popular boy band Arashi.
-
B.
Satoshi Mizutani
Satoshi Mizutani is a Japanese virologist known for his pioneering work on retroviruses and reverse transcriptase alongside David Baltimore.
-
C.
Shinji Ohno
Shinji Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno, likely for achievements in a professional or public field.
-
D.
Yoshitaka Ohno
Yoshitaka Ohno is a Japanese mathematician known for his work in number theory, particularly in the study of multiple zeta values.
-
E.
Satoshi Furukawa
Satoshi Furukawa is a Japanese astronaut and physician who has flown long-duration missions to the International Space Station as part of Japan’s space program.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.