Triple
T17818630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinji Ozaki |
E444911
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Shinji |
—
|
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: Shinji | Statement: [Shinji Ozaki, givenName, Shinji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinji Context triple: [Shinji Ozaki, givenName, Shinji]
-
A.
Shinji
chosen
Shinji is a Japanese given name commonly used for males and borne by various notable figures in entertainment, sports, and other fields.
-
B.
Kodama Shinji
Kodama Shinji is a Japanese individual notable for bearing the surname Kodama, though specific widely known public achievements or roles under this name are not clearly documented.
-
C.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
D.
Makoto
Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
-
E.
Tomoya Ohno
Tomoya Ohno is a Japanese individual notable enough to be recognized as a namesake of the surname Ohno.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488812df081909771d51c54c405fe |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.