Triple
T20568448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olaug Bollestad |
E505026
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bollestad
Bollestad is a Norwegian surname most notably associated with politician Olaug Bollestad.
|
E1438363
|
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: Bollestad | Statement: [Olaug Bollestad, familyName, Bollestad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bollestad Context triple: [Olaug Bollestad, familyName, Bollestad]
-
A.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
B.
Leijonborg
Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
-
C.
Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
-
D.
Stenbock
Stenbock is a Swedish noble family historically prominent in military and political affairs, notably producing figures such as general Magnus Stenbock.
-
E.
Carreg Wastad
Carreg Wastad is a well-known rock climbing crag in Snowdonia, North Wales, offering classic multi-pitch routes on its distinctive slabby cliffs.
- 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: Bollestad Triple: [Olaug Bollestad, familyName, Bollestad]
Generated description
Bollestad is a Norwegian surname most notably associated with politician Olaug Bollestad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bollestad Target entity description: Bollestad is a Norwegian surname most notably associated with politician Olaug Bollestad.
-
A.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
B.
Leijonborg
Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
-
C.
Gyllensten
Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
-
D.
Stenbock
Stenbock is a Swedish noble family historically prominent in military and political affairs, notably producing figures such as general Magnus Stenbock.
-
E.
Carreg Wastad
Carreg Wastad is a well-known rock climbing crag in Snowdonia, North Wales, offering classic multi-pitch routes on its distinctive slabby cliffs.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a3fdc08190a34dcf4c4e51f078 |
completed | April 20, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acdffa2c8190a87c367eb068e2cf |
completed | May 16, 2026, 5:44 p.m. |
| NEDg | Description generation | batch_6a08ad96b2a081908d32e335c5265eec |
completed | May 16, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ae19eca08190ada48b48105be62d |
completed | May 16, 2026, 5:49 p.m. |
Created at: April 16, 2026, 11:39 a.m.