Triple
T22805457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torbjørn Bergerud |
E564519
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Torbjørn |
—
|
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: Torbjørn | Statement: [Torbjørn Bergerud, givenName, Torbjørn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torbjørn Context triple: [Torbjørn Bergerud, givenName, Torbjørn]
-
A.
Torbjørn
chosen
Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
-
B.
Bjørn
Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
-
C.
Ole-Johan
Ole-Johan is the given name of Ole-Johan Dahl, a pioneering Norwegian computer scientist known for co-developing object-oriented programming.
-
D.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
-
E.
Olaf Rye
Olaf Rye was a 19th-century Norwegian-Danish military officer and national hero, known for his role in the First Schleswig War and celebrated as one of Norway’s early modern war heroes.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5b37cc8190a41d8f304ba8d609 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:31 p.m.