Triple
T17544150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petter |
E427280
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Peder |
—
|
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: Peder | Statement: [Petter, hasVariant, Peder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peder Context triple: [Petter, hasVariant, Peder]
-
A.
Peder
chosen
Peder is a masculine given name of Scandinavian origin, commonly used in Norway and Denmark as a variant of Peter.
-
B.
Pehr
Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
-
C.
Pål
Pål is a Scandinavian given name, commonly used as a Norwegian variant of the name Paul.
-
D.
Bernt
Bernt is a masculine given name, primarily used in Germanic and Scandinavian countries, that is related to names like Berend and Bernhard.
-
E.
Göran
Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545fe29c8190a586c75419fa14ea |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.