Triple
T11704555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persson |
E278204
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Eva Persson
Eva Persson is a notable individual bearing the Swedish surname Persson, recognized for her contributions in her respective field.
|
E946682
|
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: Eva Persson | Statement: [Persson, hasNotableBearer, Eva Persson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eva Persson Context triple: [Persson, hasNotableBearer, Eva Persson]
-
A.
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
B.
Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
-
C.
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
D.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
-
E.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
- 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: Eva Persson Triple: [Persson, hasNotableBearer, Eva Persson]
Generated description
Eva Persson is a notable individual bearing the Swedish surname Persson, recognized for her contributions in her respective field.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eva Persson Target entity description: Eva Persson is a notable individual bearing the Swedish surname Persson, recognized for her contributions in her respective field.
-
A.
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
B.
Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
-
C.
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
D.
Åsa Larsson
Åsa Larsson is a Swedish crime fiction author best known for her Rebecka Martinsson series set in northern Sweden.
-
E.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
- 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_69f08fed49fc8190951ff3af6bd51050 |
completed | April 28, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_69f0a7971df48190b51c1d245f4c89d2 |
completed | April 28, 2026, 12:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0d61cf9c4819080590fefc60f7325 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 8, 2026, 9:40 p.m.