Triple
T37599044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Bernofsky |
E935473
|
entity |
| Predicate | languagesTranslatedInto |
—
|
GENERATED |
| Object | English |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languagesTranslatedInto Context triple: [Susan Bernofsky, languagesTranslatedInto, English]
-
A.
languageOfTranslations
chosen
Indicates that one entity is the language into which another entity (such as a text or work) has been translated.
-
B.
languageTranslatedFrom
Indicates that a language is the source/original language from which content has been translated into another language.
-
C.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
D.
languageOfTranslatedWorks
Indicates the language into which works have been translated.
-
E.
widelyTranslated
Indicates that a work has been translated into many different languages or versions, reflecting broad international dissemination.
- F. None of above.
Provenance (1 batch)
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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.