Triple
T20568447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olaug Bollestad |
E505026
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Olaug
Olaug is a feminine given name of Norwegian origin, notably borne by Norwegian politician Olaug Bollestad.
|
E1438362
|
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: Olaug | Statement: [Olaug Bollestad, givenName, Olaug]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olaug Context triple: [Olaug Bollestad, givenName, Olaug]
-
A.
Blånebba
Blånebba is a prominent mountain peak in Norway’s Romsdal region, known for its dramatic cliffs and scenic hiking routes overlooking the Romsdalen valley.
-
B.
Bjøra
Bjøra is a river in Norway known for flowing through the municipality of Overhalla and supporting local salmon fishing and agriculture.
-
C.
Porsanger Kven
Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
-
D.
Fløya
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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: Olaug Triple: [Olaug Bollestad, givenName, Olaug]
Generated description
Olaug is a feminine given name of Norwegian origin, notably borne by Norwegian politician Olaug Bollestad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olaug Target entity description: Olaug is a feminine given name of Norwegian origin, notably borne by Norwegian politician Olaug Bollestad.
-
A.
Blånebba
Blånebba is a prominent mountain peak in Norway’s Romsdal region, known for its dramatic cliffs and scenic hiking routes overlooking the Romsdalen valley.
-
B.
Bjøra
Bjøra is a river in Norway known for flowing through the municipality of Overhalla and supporting local salmon fishing and agriculture.
-
C.
Porsanger Kven
Porsanger Kven is a regional variety of the Kven language traditionally spoken by the Kven minority in the Porsanger area of northern Norway.
-
D.
Fløya
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
-
E.
Giske
Giske is a coastal municipality in Møre og Romsdal county, Norway, known for its islands, fishing communities, and proximity to the town of Ålesund.
- 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.