Triple
T22005952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opeth |
E543450
|
entity |
| Predicate | keyboardist |
P12601
|
FINISHED |
| Object | Joakim Svalberg |
—
|
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: Joakim Svalberg | Statement: [Opeth, keyboardist, Joakim Svalberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joakim Svalberg Context triple: [Opeth, keyboardist, Joakim Svalberg]
-
A.
Joakim Svalberg
chosen
Joakim Svalberg is a Swedish keyboardist and musician best known for his work with the progressive metal band Opeth.
-
B.
Sander Sagosen
Sander Sagosen is a Norwegian professional handball player widely regarded as one of the best backs in the world and a key figure for both club and country.
-
C.
Fredrik Lindström
Fredrik Lindström is a Swedish biathlete and Olympic champion known for winning gold in the men's relay at the 2018 Winter Olympics.
-
D.
Kristian Bäckström
Kristian Bäckström is a person notable enough to be recognized as a bearer of the Swedish surname Bäckström.
-
E.
Niklas Bäckström
Niklas Bäckström is a retired Finnish professional ice hockey goaltender best known for his long NHL career with the Minnesota Wild.
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:21 p.m.