Triple
T5470276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Björn Envall |
E122813
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Björn Envall |
E122813
|
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 Envall | Statement: [Björn Envall, name, Björn Envall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Björn Envall Context triple: [Björn Envall, name, Björn Envall]
-
A.
Björn Envall
chosen
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.
-
B.
Björn Isfält
Björn Isfält was a Swedish film composer known for his evocative scores for both Scandinavian cinema and international films.
-
C.
Göran Månsson
Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
-
D.
Kjell Ödeen
Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena in Gothenburg.
-
E.
Jörgen Persson
Jörgen Persson is a Swedish cinematographer known for his work on numerous acclaimed films, including the 1998 adaptation of Les Misérables.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd921b65f48190af7fcf89140f9ba8 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf8339158c8190b5471c9fb85696e1 |
completed | March 22, 2026, 5:50 a.m. |
Created at: March 20, 2026, 2:09 p.m.