Triple
T17790072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroshi Satō |
E444134
|
entity |
| Predicate | hasDiacriticVariant |
P457
|
FINISHED |
| Object | Hiroshi Satō |
—
|
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: Hiroshi Satō | Statement: [Hiroshi Satō, hasDiacriticVariant, Hiroshi Satō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hiroshi Satō Context triple: [Hiroshi Satō, hasDiacriticVariant, Hiroshi Satō]
-
A.
Hiroshi Satō
chosen
Hiroshi Satō is a Japanese given name commonly borne by men across various professions, including business, sports, and the arts.
-
B.
Akira Satō
Akira Satō is a Japanese personal name shared by multiple notable individuals across fields such as politics, sports, and the arts.
-
C.
Yasutaka Nakasone
Yasutaka Nakasone is a Japanese politician and member of the prominent Nakasone political family.
-
D.
Shigeru Satō
Shigeru Satō is a Japanese individual notable enough to be specifically distinguished among people sharing the surname Satō.
-
E.
Masakazu Nakasone
Masakazu Nakasone is a Japanese politician who serves as the mayor of the city of Uruma in Okinawa Prefecture.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4879688908190a5428b1fa7525f62 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:13 a.m.