Triple
T10496360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann-Margret |
E247547
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Olsson
Olsson is a common Swedish surname borne by various notable individuals, including the Swedish-American actress and singer Ann-Margret.
|
E867860
|
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: Olsson | Statement: [Ann-Margret, familyName, Olsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olsson Context triple: [Ann-Margret, familyName, Olsson]
-
A.
Olsen
Olsen is a common Scandinavian-origin surname borne by numerous notable individuals across sports, entertainment, and other fields.
-
B.
Olson
Olson is a surname most prominently associated in entertainment with American actress and comedian Kaitlin Olson.
-
C.
Olle
Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
-
D.
Williamsson
Williamsson is a Scandinavian patronymic surname, likely meaning "son of William" and used as a variant of the more common form Williamson.
-
E.
Jonsson
Jonsson is the namesake of the Jonsson-Rowland Science Center, likely a significant benefactor or figure associated with the institution that houses it.
- 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: Olsson Triple: [Ann-Margret, familyName, Olsson]
Generated description
Olsson is a common Swedish surname borne by various notable individuals, including the Swedish-American actress and singer Ann-Margret.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olsson Target entity description: Olsson is a common Swedish surname borne by various notable individuals, including the Swedish-American actress and singer Ann-Margret.
-
A.
Olsen
Olsen is a common Scandinavian-origin surname borne by numerous notable individuals across sports, entertainment, and other fields.
-
B.
Olson
Olson is a surname most prominently associated in entertainment with American actress and comedian Kaitlin Olson.
-
C.
Olle
Olle is the given name of Olle Wästberg, a Swedish journalist, politician, and former director-general of the Swedish Institute.
-
D.
Williamsson
Williamsson is a Scandinavian patronymic surname, likely meaning "son of William" and used as a variant of the more common form Williamson.
-
E.
Jonsson
Jonsson is the namesake of the Jonsson-Rowland Science Center, likely a significant benefactor or figure associated with the institution that houses it.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098cd82c8190b44127a66c9c75ae |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcbafe9481908fb23cfdf150adac |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c8e360819085376d4c4ea9712d |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901ef24608190934377d9dc855d6f |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:24 p.m.