Triple
T33983486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nik & Jay |
E871348
|
entity |
| Predicate | hasNotableWorkLanguage |
—
|
GENERATED |
| Object | Danish |
—
|
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: hasNotableWorkLanguage Context triple: [Nik & Jay, hasNotableWorkLanguage, Danish]
-
A.
hasWorkedInLanguage
Indicates that an entity has performed work or professional activities using a particular language.
-
B.
containsWorkLanguage
chosen
Indicates that one entity includes or is associated with a specific language used for a work (such as a document, publication, or creative piece).
-
C.
hasAwardedWorkLanguage
Indicates the language in which an awarded work (such as a prize-winning book, film, or other creation) is expressed.
-
D.
hasOfficialLanguageOfWork
Indicates that an entity uses a specified language as its official medium for conducting work or formal activities.
-
E.
notableLanguageOfActivity
Indicates that a language is prominently used or recognized in connection with a particular activity or domain of activity.
- 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_69f3499e964c8190b674b03f6f791b4b |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.