Triple
T4713581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peder Sather |
E104576
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Peder |
E104575
|
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: Peder | Statement: [Peder Sather, givenName, Peder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peder Context triple: [Peder Sather, givenName, 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.
Göran
Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
-
D.
Petter
Petter is a masculine given name commonly used in Scandinavian countries, equivalent to the English name Peter.
-
E.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6407659481908bcdc063d7b3da00 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be108002e08190b13856f2af135bfc |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.