Triple
T17706397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tōru Hashimoto |
E441442
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hashimoto |
—
|
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: Hashimoto | Statement: [Tōru Hashimoto, familyName, Hashimoto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hashimoto Context triple: [Tōru Hashimoto, familyName, Hashimoto]
-
A.
Hashimoto
chosen
Hashimoto is a city in Wakayama Prefecture, Japan, known as a regional hub between Osaka and the Kii Mountain range.
-
B.
Graves
Graves is a surname most notably associated with Michael Graves, the influential American architect and designer linked to the postmodern movement.
-
C.
Graves
Graves is a musician best known for his work with the horror punk band Misfits, particularly as their lead vocalist during the late 1990s.
-
D.
Graves
Graves is a renowned wine-producing subregion on the left bank of Bordeaux, France, famous for its gravelly soils and high-quality red and white wines.
-
E.
Struma
The Struma is a significant river in the Balkans that flows from western Bulgaria into Greece, ultimately emptying into the Aegean Sea.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47297f7188190ba859d71e394bd4b |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.