Triple
T18169478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Östen Undén |
E434983
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Östen Undén |
—
|
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: Östen Undén | Statement: [Östen Undén, name, Östen Undén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Östen Undén Context triple: [Östen Undén, name, Östen Undén]
-
A.
Östen Undén
chosen
Östen Undén was a Swedish Social Democratic politician, legal scholar, and long-serving foreign minister who briefly served as acting Prime Minister of Sweden during the 1940s.
-
B.
Torgny Lindgren
Torgny Lindgren was a renowned Swedish author and member of the Swedish Academy, celebrated for his novels and short stories often set in rural Västerbotten.
-
C.
Torgny Segerstedt
Torgny Segerstedt was a Swedish philosopher and academic leader best known for serving as rector of Uppsala University and for his influence on higher education in Sweden.
-
D.
Göran Sonnevi
Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
-
E.
Johan Söderqvist
Johan Söderqvist is a Swedish film composer known for his atmospheric and emotionally nuanced scores for Scandinavian and international cinema.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df53ef148190a32aad0253547645 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.