Triple
T19859626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into My Arms |
E477220
|
entity |
| Predicate | hasCoverVersionBy |
P11142
|
FINISHED |
| Object | Ane Brun |
—
|
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: Ane Brun | Statement: [Into My Arms, hasCoverVersionBy, Ane Brun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ane Brun Context triple: [Into My Arms, hasCoverVersionBy, Ane Brun]
-
A.
Ane Brun
chosen
Ane Brun is a Norwegian singer-songwriter known for her introspective folk-pop music and distinctive, emotive vocal style.
-
B.
Sissel Kyrkjebø
Sissel Kyrkjebø is a Norwegian soprano renowned for her crystal-clear voice and wide-ranging repertoire spanning classical, folk, and pop music.
-
C.
Maren Svarstad
Maren Svarstad was a daughter of the Norwegian Nobel Prize–winning author Sigrid Undset.
-
D.
Anna Sofie Bergen
Anna Sofie Bergen was the mother of composer and cultural figure Alma Mahler, belonging to the milieu of late 19th-century Viennese artistic society.
-
E.
Synnøve Karlsen
Synnøve Karlsen is a Scottish-Norwegian actress known for her roles in the TV series "Clique" and the psychological horror film "Last Night in Soho."
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6586e8b648190bb650d7f2816dda1 |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.