Triple
T29470039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 今村昌平 |
E747483
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | 今村昌平の妻（一般人・名前非公表の場合あり） |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: 今村昌平の妻（一般人・名前非公表の場合あり） | Statement: [今村昌平, spouse, 今村昌平の妻（一般人・名前非公表の場合あり）]
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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66bab059c8190b804acbe3d59b508 |
completed | May 2, 2026, 9:24 p.m. |
Created at: April 28, 2026, 3:56 p.m.