Triple
T21969233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aulestad |
E542540
|
entity |
| Predicate | associatedPerson |
P2308
|
FINISHED |
| Object | Karoline Bjørnson |
—
|
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: Karoline Bjørnson | Statement: [Aulestad, associatedPerson, Karoline Bjørnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karoline Bjørnson Context triple: [Aulestad, associatedPerson, Karoline Bjørnson]
-
A.
Karoline Bjørnson
chosen
Karoline Bjørnson was the wife of Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson and a notable figure in Norwegian cultural and social life in her own right.
-
B.
Siv Høgtun
Siv Høgtun is a Norwegian local politician who serves as the mayor of Askøy, an island municipality near Bergen in Western Norway.
-
C.
Sigrid Solbakk Raabe
Sigrid Solbakk Raabe is a Norwegian singer-songwriter known for her energetic pop music and international hit single "Strangers."
-
D.
Ola Fløttum
Ola Fløttum is a Norwegian composer best known for his atmospheric film scores, including his work on the critically acclaimed drama "Force Majeure."
-
E.
Sigrid Sundby
Sigrid Sundby is a Norwegian speed skater who competed internationally as a member of Norway's national team.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245d50d08190a4bf93139daa77eb |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:02 p.m.