Triple
T10230332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Åkesson |
E243322
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Åkesson |
E795950
|
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: Åkesson | Statement: [Eva Åkesson, familyName, Åkesson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åkesson Context triple: [Eva Åkesson, familyName, Åkesson]
-
A.
Åkesson
chosen
Åkesson is a Swedish surname most prominently associated with Jimmie Åkesson, the long-time leader of the Sweden Democrats political party.
-
B.
Åkerman
Åkerman is a Swedish surname most notably borne by Canadian-Swedish actress and model Malin Åkerman.
-
C.
Lukasson
Lukasson is a surname of likely Scandinavian origin, commonly used as a patronymic family name.
-
D.
Danielsson
Danielsson is a Swedish surname commonly borne by individuals of Scandinavian origin.
-
E.
Olof Grind
Olof Grind is a Swedish photographer and visual artist known for his atmospheric, cinematic imagery used in music-related artwork and editorial projects.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d20a25dc8190bd448f7ba7a13cbd |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
Created at: April 6, 2026, 11:19 a.m.