Triple
T7685864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åsa Wikforss |
E174114
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Åsa Wikforss |
E174114
|
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: Åsa Wikforss | Statement: [Åsa Wikforss, name, Åsa Wikforss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åsa Wikforss Context triple: [Åsa Wikforss, name, Åsa Wikforss]
-
A.
Åsa Wikforss
chosen
Åsa Wikforss is a Swedish philosopher and professor known for her work in philosophy of language and epistemology, as well as for her public engagement in debates on knowledge and democracy.
-
B.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
-
C.
Annette Ekblom
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
-
D.
Maud Runnström
Maud Runnström was the wife of Swedish physicist and Nobel laureate Kai Siegbahn.
-
E.
Kerstin Ekman
Kerstin Ekman is a prominent Swedish novelist and former member of the Swedish Academy, known for her psychologically rich fiction and crime novels.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022118908190a3a93cfda79be0a4 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be22dd6481908bb4c1afaf65bcb4 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:02 p.m.