Triple
T8145867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per Wästberg |
E190209
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Per Wästberg |
E190209
|
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: Per Wästberg | Statement: [Per Wästberg, name, Per Wästberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Per Wästberg Context triple: [Per Wästberg, name, Per Wästberg]
-
A.
Per Wästberg
chosen
Per Wästberg is a Swedish writer, critic, and long-serving member of the Swedish Academy known for his novels, essays, and prominent role in the literary world.
-
B.
Per Ahlmark
Per Ahlmark was a Swedish politician, writer, and former leader of the Liberal People's Party who also served as Sweden’s Deputy Prime Minister in the 1970s.
-
C.
Olle Wästberg
Olle Wästberg is a Swedish journalist, liberal politician, and former director-general of the Swedish Institute known for his influential roles in media, politics, and public diplomacy.
-
D.
Per-Ragnar Bergkvist
Per-Ragnar Bergkvist is a Swedish former professional ice hockey goaltender known for his career in Sweden’s top leagues and his time with the Malmö Redhawks.
-
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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4447dbc48190affb0f34f6c85f5a |
completed | March 31, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94b0fc0481909a21f42364a92158 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.