Triple
T12216026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Björn Isfält |
E291085
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Björn Isfält |
E291085
|
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: Björn Isfält | Statement: [Björn Isfält, name, Björn Isfält]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Björn Isfält Context triple: [Björn Isfält, name, Björn Isfält]
-
A.
Björn Isfält
chosen
Björn Isfält was a Swedish film composer known for his evocative scores for both Scandinavian cinema and international films.
-
B.
Björn Waldegård
Björn Waldegård was a Swedish rally driver and the inaugural World Rally Championship drivers’ title winner, renowned for his success with multiple manufacturers during the 1970s and 1980s.
-
C.
Björn Envall
Björn Envall is a Swedish automotive designer best known for his influential work on several Saab models, helping to define the brand’s distinctive design language in the late 20th century.
-
D.
Göran Andersson
Göran Andersson is a Swedish academic and engineer known for his contributions to electric power systems and energy technology.
-
E.
Bjørn Floberg
Bjørn Floberg is a Norwegian actor known for his intense character roles in film, television, and theatre.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c9419d48190b0037fe8edc681c4 |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a8c69308190bffae7b38cc5620b |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:51 p.m.