Triple
T13677559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karoline Luise Friederike von Schiller |
E327915
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Karoline |
E824727
|
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: Karoline | Statement: [Karoline Luise Friederike von Schiller, givenName, Karoline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karoline Context triple: [Karoline Luise Friederike von Schiller, givenName, Karoline]
-
A.
Karoline
chosen
Karoline is a feminine given name, commonly used in various European countries, that is a variant spelling of Caroline.
-
B.
Cecilie
Cecilie is a feminine given name, commonly used in Scandinavian countries, that is a variant of the name Cecilia.
-
C.
Maria Karoline
Maria Karoline is a female given name of European origin, often used in German-speaking countries.
-
D.
Dagmar
Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
-
E.
Reine
Reine is a picturesque fishing village in Norway’s Lofoten archipelago, known for its dramatic mountain backdrop and traditional red rorbuer cabins by the sea.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65d8dc081909664e69bb38610ba |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f794405a38819085f38170c56564f2 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.