Triple
T20798240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toril Marie Øie |
E511969
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Toril Marie Øie |
—
|
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: Toril Marie Øie | Statement: [Toril Marie Øie, name, Toril Marie Øie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toril Marie Øie Context triple: [Toril Marie Øie, name, Toril Marie Øie]
-
A.
Toril Marie Øie
chosen
Toril Marie Øie is a Norwegian jurist who serves as the Chief Justice of the Supreme Court of Norway.
-
B.
Hege Bøkko
Hege Bøkko is a Norwegian long-track speed skater known for competing at international championships and representing Norway at multiple Winter Olympic Games.
-
C.
Hanne Skartveit
Hanne Skartveit is a Norwegian journalist and political editor who serves as editor-in-chief of the newspaper VG.
-
D.
Solveig Gulbrandsen
Solveig Gulbrandsen is a Norwegian former professional footballer and influential midfielder who became one of Norway’s most prominent women’s national team players.
-
E.
Anne Line Gjersem
Anne Line Gjersem is a Norwegian figure skater who has competed internationally, including at the Olympic Games, representing Norway in ladies' singles.
- 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_69e0b4cc69f481908e98751e697b9df4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ae2c4c819087f620df31dc1aba |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.