Triple
T7547132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolf Gerhardsen |
E178433
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Arbeiderbladet |
E19344
|
NE FINISHED |
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: Arbeiderbladet | Statement: [Rolf Gerhardsen, employer, Arbeiderbladet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arbeiderbladet Context triple: [Rolf Gerhardsen, employer, Arbeiderbladet]
-
A.
Arbeiderbladet
chosen
Arbeiderbladet was a prominent Norwegian daily newspaper historically affiliated with the Norwegian Labour Party and influential in shaping the country’s social-democratic discourse.
-
B.
Dagbladet
Dagbladet is a major Norwegian daily newspaper known for its liberal editorial stance and significant influence on public debate in Norway.
-
C.
Aftenposten
Aftenposten is Norway’s largest and one of its oldest daily newspapers, known for its national influence and comprehensive coverage of news, politics, and culture.
-
D.
Bergens Tidende
Bergens Tidende is a major Norwegian daily newspaper based in Bergen, known as one of the country’s leading regional papers.
-
E.
Aftonbladet
Aftonbladet is one of Sweden’s largest and most influential daily newspapers, known for its tabloid format and extensive online presence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89a7b2c8190b2ca57edbb4f0390 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f2662f881909f65c936be9eab56 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.