Triple
T22363399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watanabe |
E552835
|
entity |
| Predicate | hasRomanization |
P2508
|
FINISHED |
| Object | Watanabe |
—
|
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 | Statement: [Watanabe, hasRomanization, Watanabe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watanabe Context triple: [Watanabe, hasRomanization, Watanabe]
-
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.
Tatsumi
Tatsumi is a residential and waterfront area in Kōtō Ward, Tokyo, known for its housing complexes, sports facilities, and proximity to Tokyo Bay.
-
C.
Tatsumi
Tatsumi is a masculine Japanese given name commonly used for boys and borne by various notable figures in Japan.
-
D.
Wakatsuki
Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
-
E.
Hayashi
Hayashi is a common Japanese surname that literally means "forest" and is equivalent to the Chinese surname "Lin."
- 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.