Triple
T6179083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Simonyi |
E137892
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
|
E572855
|
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: Lisa Persdotter | Statement: [Charles Simonyi, spouse, Lisa Persdotter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Persdotter Context triple: [Charles Simonyi, spouse, Lisa Persdotter]
-
A.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
B.
Sylvia Ingemarsson
Sylvia Ingemarsson is a film editor best known for her work on Ingmar Bergman’s drama "Autumn Sonata."
-
C.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
-
D.
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.
-
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: Lisa Persdotter Triple: [Charles Simonyi, spouse, Lisa Persdotter]
Generated description
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisa Persdotter Target entity description: Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
A.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
B.
Sylvia Ingemarsson
Sylvia Ingemarsson is a film editor best known for her work on Ingmar Bergman’s drama "Autumn Sonata."
-
C.
Ellen Lundström
Ellen Lundström was the first wife of renowned Swedish film director Ingmar Bergman, with whom he had several children before their divorce.
-
D.
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.
-
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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dcb77948190b5385438f81bf0a8 |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141bf3f4081909849e38d322da251 |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c14626cab4819092843ff0ea83a6f1 |
completed | March 23, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146d749dc8190b59f6e0001b5729d |
completed | March 23, 2026, 1:57 p.m. |
Created at: March 22, 2026, 4:18 p.m.