Triple
T22042326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Synnøve Solbakken |
E544667
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Thorbjørn |
—
|
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: Thorbjørn | Statement: [Synnøve Solbakken, hasMainCharacter, Thorbjørn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorbjørn Context triple: [Synnøve Solbakken, hasMainCharacter, Thorbjørn]
-
A.
Torbjørn
chosen
Torbjørn is a Scandinavian masculine given name, particularly common in Norway, derived from Old Norse elements meaning "Thor" and "bear."
-
B.
Halvdan
Halvdan is a masculine given name of Scandinavian origin, historically borne by several notable Norwegian figures.
-
C.
Svein
Svein is a masculine given name of Old Norse origin, commonly used in Scandinavian countries.
-
D.
Rorik
Rorik is a legendary or semi-legendary Norse figure known from Old Norse sagas and medieval Scandinavian tradition.
-
E.
Halfdan Rasmussen
Halfdan Rasmussen was a renowned Danish poet and author, especially celebrated for his humorous and imaginative children's verse as well as his socially engaged poetry.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12829c1c081909edc7544242c9c7a |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.