Triple
T7770150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Per Ahlmark |
E179047
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ahlmark
Ahlmark is a Swedish surname most notably associated with Per Ahlmark, a prominent Swedish politician, writer, and former Deputy Prime Minister.
|
E686716
|
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: Ahlmark | Statement: [Per Ahlmark, familyName, Ahlmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahlmark Context triple: [Per Ahlmark, familyName, Ahlmark]
-
A.
Haslum
Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
-
B.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
C.
Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
-
D.
Jevnaker
Jevnaker is a municipality in Viken county, Norway, known for its scenic lakeside setting and the Hadeland Glassverk glassworks.
-
E.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, 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: Ahlmark Triple: [Per Ahlmark, familyName, Ahlmark]
Generated description
Ahlmark is a Swedish surname most notably associated with Per Ahlmark, a prominent Swedish politician, writer, and former Deputy Prime Minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahlmark Target entity description: Ahlmark is a Swedish surname most notably associated with Per Ahlmark, a prominent Swedish politician, writer, and former Deputy Prime Minister.
-
A.
Haslum
Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
-
B.
Ehling
Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
-
C.
Norg
Norg is a village in the Dutch province of Drenthe, known for its historic farms, surrounding forests, and role as a local tourist destination.
-
D.
Jevnaker
Jevnaker is a municipality in Viken county, Norway, known for its scenic lakeside setting and the Hadeland Glassverk glassworks.
-
E.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c70438ca2481909114b0c434717109 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7ead45c8190847365d8549eefab |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c83be35481908fe672c4ad6885a0 |
completed | March 29, 2026, 6:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8a317d08190a34be81f78237e46 |
completed | March 29, 2026, 6:37 a.m. |
Created at: March 27, 2026, 4:11 p.m.