Triple
T10165135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gustaf Aulén |
E235186
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Aulén |
E235186
|
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: Aulén | Statement: [Gustaf Aulén, familyName, Aulén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aulén Context triple: [Gustaf Aulén, familyName, Aulén]
-
A.
Aulén
chosen
Aulén is a Swedish surname most notably associated with Gustaf Aulén, a prominent 20th-century Lutheran theologian and bishop.
-
B.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
C.
Norlén
Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
-
D.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
E.
Pedersöre
Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6b96dc8190ae37d0d28e4c393b |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300d672fc8190ad5b937d02a737fd |
completed | April 6, 2026, 12:39 a.m. |
Created at: March 30, 2026, 9:10 p.m.