Triple
T15620277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shohei |
E375532
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Shohei Ono |
E375532
|
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: Shohei Ono | Statement: [Shohei, hasNotableBearer, Shohei Ono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shohei Ono Context triple: [Shohei, hasNotableBearer, Shohei Ono]
-
A.
Yasuo Matsui
Yasuo Matsui was a Japanese-American architect active in early 20th-century New York City, known for his work on prominent skyscrapers.
-
B.
Shigeru Matsui
Shigeru Matsui is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Matsui.
-
C.
Ichiro Kono
Ichiro Kono was a Japanese politician who served in prominent cabinet positions and was influential in postwar Japanese politics.
-
D.
Shohei
chosen
Shohei is a Japanese given name most prominently associated with baseball star Shohei Ohtani.
-
E.
Hitoshi Tanaka
Hitoshi Tanaka is a Japanese name most commonly associated with several individuals, including professionals in fields such as diplomacy, academia, and sports.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82e73534819095fca1b804d5db58 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:13 a.m.