Triple
T18597807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Westergaard |
E454539
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kurt Westergaard |
—
|
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: Kurt Westergaard | Statement: [Kurt Westergaard, name, Kurt Westergaard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Westergaard Context triple: [Kurt Westergaard, name, Kurt Westergaard]
-
A.
Kurt Westergaard
chosen
Kurt Westergaard was a Danish cartoonist best known internationally for his controversial 2005 depiction of the Prophet Muhammad that sparked widespread protests and debate over freedom of expression.
-
B.
Søren Pilmark
Søren Pilmark is a Danish actor, comedian, and director known for his work in film, television, and theater in Denmark.
-
C.
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."
-
D.
Vilhelm Kyhn
Vilhelm Kyhn was a Danish landscape painter of the 19th century, known for his naturalistic depictions of the Danish countryside and his influence as a teacher on later artists.
-
E.
Gunnar Wejke
Gunnar Wejke was a Swedish architect known for co-designing major public buildings, including the multi-purpose arena Scandinavium in Gothenburg.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474d934481909b4afd5ef9031c73 |
completed | April 19, 2026, 9:21 p.m. |
Created at: April 10, 2026, 11:44 a.m.