Triple
T16091936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikio Oda |
E390377
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mikio Oda |
—
|
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: Mikio Oda | Statement: [Mikio Oda, name, Mikio Oda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mikio Oda Context triple: [Mikio Oda, name, Mikio Oda]
-
A.
Mikio Oda
chosen
Mikio Oda was a Japanese track and field athlete best known as the first Japanese Olympic gold medalist, winning the triple jump at the 1928 Summer Olympics.
-
B.
Hideo Oguni
Hideo Oguni was a prominent Japanese screenwriter best known for his collaborations with director Akira Kurosawa on several classic films.
-
C.
Okamura Kenji
Okamura Kenji is a Japanese individual notable for bearing the surname Okamura, though specific widely recognized achievements or roles under this name are not clearly established in major public records.
-
D.
Okamura Ken
Okamura Ken is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Okamura, though specific public details about his career or achievements are not widely documented.
-
E.
Eiichi Kono
Eiichi Kono is a Japanese type designer best known for his work on the digital revival and refinement of the iconic Johnston typeface used across the London Underground.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1858d1264819099434d7201614d05 |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:59 a.m.