Triple
T6074825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Fredrik Eckersberg |
E135373
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Johan Fredrik Eckersberg |
E135373
|
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: Johan Fredrik Eckersberg | Statement: [Johan Fredrik Eckersberg, name, Johan Fredrik Eckersberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johan Fredrik Eckersberg Context triple: [Johan Fredrik Eckersberg, name, Johan Fredrik Eckersberg]
-
A.
Johan Fredrik Eckersberg
chosen
Johan Fredrik Eckersberg was a 19th-century Norwegian painter known for his landscape and genre scenes and for helping shape the development of Norwegian art.
-
B.
Hans Gude
Hans Gude was a prominent 19th-century Norwegian Romantic landscape painter known for his dramatic depictions of Nordic nature and seascapes.
-
C.
Johan Christian Dahl
Johan Christian Dahl was a pioneering 19th-century Norwegian Romantic landscape painter, often regarded as the father of Norwegian landscape art.
-
D.
Peder Balke
Peder Balke was a 19th-century Norwegian painter known for his dramatic, atmospheric landscapes of the Nordic coast and wilderness.
-
E.
Malte Grunert
Malte Grunert is a German film producer best known for his work on the acclaimed 2022 adaptation of "All Quiet on the Western Front."
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0575d4ed481908eddc88e9b90e22f |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ccee748190a0e292bc18b552f8 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:11 p.m.