Triple
T11704549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persson |
E278204
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Annika Persson
Annika Persson is a notable individual who shares the Persson surname, which is common in Sweden and associated with several prominent figures in politics, business, and culture.
|
E943319
|
NE FINISHED |
How this triple was built (4 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: Annika Persson | Statement: [Persson, hasNotableBearer, Annika Persson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annika Persson Context triple: [Persson, hasNotableBearer, Annika Persson]
-
A.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
-
B.
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
C.
Anna-Lisa Hansson
Anna-Lisa Hansson was a daughter of Swedish Prime Minister Per Albin Hansson and a member of his prominent political family.
-
D.
Greta Lundgren
Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
-
E.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Annika Persson Triple: [Persson, hasNotableBearer, Annika Persson]
Generated description
Annika Persson is a notable individual who shares the Persson surname, which is common in Sweden and associated with several prominent figures in politics, business, and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annika Persson Target entity description: Annika Persson is a notable individual who shares the Persson surname, which is common in Sweden and associated with several prominent figures in politics, business, and culture.
-
A.
Ylva Johansson
Ylva Johansson is a Swedish politician who has served as European Commissioner for Home Affairs and previously held several ministerial posts in the Swedish government.
-
B.
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
C.
Anna-Lisa Hansson
Anna-Lisa Hansson was a daughter of Swedish Prime Minister Per Albin Hansson and a member of his prominent political family.
-
D.
Greta Lundgren
Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
-
E.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
- F. None of above. chosen
Provenance (5 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49c8c38819083d83f5fdec52b7f |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0195739348190b40a378ca227cf85 |
completed | April 28, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69f0319271788190a105828ae7582668 |
completed | April 28, 2026, 4:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05a44dcb88190a0bb57b0c8fef6b9 |
completed | April 28, 2026, 6:57 a.m. |
Created at: April 8, 2026, 9:40 p.m.