Triple
T20101399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karin Stoltenberg |
E496549
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Nini Stoltenberg |
—
|
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: Nini Stoltenberg | Statement: [Karin Stoltenberg, relative, Nini Stoltenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nini Stoltenberg Context triple: [Karin Stoltenberg, relative, Nini Stoltenberg]
-
A.
Nini Stoltenberg
chosen
Nini Stoltenberg was a Norwegian television personality and public debater known for her candid discussions of drug addiction and social issues.
-
B.
Erna Solberg
Erna Solberg is a Norwegian politician who served as Prime Minister of Norway and leader of the Conservative Party.
-
C.
Karin Stoltenberg
Karin Stoltenberg was a Norwegian geneticist and civil servant known for her influential work in public policy and as the mother of former NATO Secretary General Jens Stoltenberg.
-
D.
Jens Stoltenberg
Jens Stoltenberg is a Norwegian politician who served as Norway’s prime minister and later became the secretary general of NATO.
-
E.
Camilla Stoltenberg
Camilla Stoltenberg is a Norwegian physician and public health researcher who has served as director-general of the Norwegian Institute of Public Health.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:27 p.m.