Triple
T22363370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watanabe |
E552835
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Watanabe (渡邉) |
—
|
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: Watanabe (渡邉) | Statement: [Watanabe, hasVariant, Watanabe (渡邉)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watanabe (渡邉) Context triple: [Watanabe, hasVariant, Watanabe (渡邉)]
-
A.
Watanabe
chosen
Watanabe is a common Japanese surname borne by many notable figures in fields such as acting, sports, politics, and the arts.
-
B.
Nishinomiya-Kitaguchi
Nishinomiya-Kitaguchi is a major railway station and commercial hub in Nishinomiya, Hyōgo Prefecture, Japan, known as an important junction on the Hankyu Railway network.
-
C.
Yamada
Yamada is a common Japanese surname borne by many notable figures across fields such as politics, arts, sports, and academia.
-
D.
Futami
Futami is a coastal town in Mie Prefecture, Japan, known for its scenic seaside views and as the home of the famous Meoto Iwa “wedded rocks” Shinto site.
-
E.
Wazanaki
Wazanaki are the Zanaki people of Tanzania, a Bantu-speaking ethnic group traditionally living near Lake Victoria.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d616748190921bd49039b7f6fc |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.