Triple
T19392250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seiji Togo |
E485096
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Seiji |
—
|
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: Seiji | Statement: [Seiji Togo, givenName, Seiji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seiji Context triple: [Seiji Togo, givenName, Seiji]
-
A.
Seiji
chosen
Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
-
B.
Shigeo
Shigeo is a Japanese given name commonly used for males.
-
C.
Yutaka
Yutaka is a Japanese given name commonly used for males and associated with several notable figures in Japanese culture and entertainment.
-
D.
Yojiro
Yojiro is a Japanese given name commonly used for males.
-
E.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b45caec81909dafdf66b361effd |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.