Triple
T23496245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peder Balke |
E571711
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Balke |
—
|
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: Balke | Statement: [Peder Balke, familyName, Balke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balke Context triple: [Peder Balke, familyName, Balke]
-
A.
Balke
chosen
Balke is a Norwegian surname most notably associated with the 19th-century landscape painter Peder Balke.
-
B.
Behling
Behling is a German-origin surname borne by various individuals, including American actor Michael Evans Behling.
-
C.
Bleichert
Bleichert is a German-origin surname most notably associated with individuals such as Dwight "Bucky" Bleichert, a character in James Ellroy’s crime novel "The Black Dahlia."
-
D.
Schmarbeck
Schmarbeck is a small village in Lower Saxony, Germany, that forms part of the collective municipality of Faßberg.
-
E.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7e00384819092729319a378d4ab |
completed | April 29, 2026, 6:40 a.m. |
Created at: April 17, 2026, 6:05 p.m.