Triple
T22805458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torbjørn Bergerud |
E564519
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Bergerud
Bergerud is a Norwegian surname borne by various notable individuals, including athletes and public figures.
|
E1555284
|
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: Bergerud | Statement: [Torbjørn Bergerud, familyName, Bergerud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bergerud Context triple: [Torbjørn Bergerud, familyName, Bergerud]
-
A.
Mellerud
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
-
B.
Svenkerud
Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
-
C.
Skotterud
Skotterud is a village in Eidskog Municipality in Innlandet county, Norway, serving as a local administrative and service center near the Swedish border.
-
D.
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.
-
E.
Sven Berg
Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
- 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: Bergerud Triple: [Torbjørn Bergerud, familyName, Bergerud]
Generated description
Bergerud is a Norwegian surname borne by various notable individuals, including athletes and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bergerud Target entity description: Bergerud is a Norwegian surname borne by various notable individuals, including athletes and public figures.
-
A.
Mellerud
Mellerud is a small town in western Sweden known for its location by Lake Vänern and its role as a local service and transport hub.
-
B.
Svenkerud
Svenkerud is a Norwegian surname most notably borne by Peer Jacob Svenkerud, a 19th-century politician and farmer.
-
C.
Skotterud
Skotterud is a village in Eidskog Municipality in Innlandet county, Norway, serving as a local administrative and service center near the Swedish border.
-
D.
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.
-
E.
Sven Berg
Sven Berg is an architect best known for his work on the design of the Oklahoma City National Memorial.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5b37cc8190a41d8f304ba8d609 |
completed | April 29, 2026, 3:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e9dbb3881909f6fa69466bf3eff |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0ba0853f7c8190ad9c85a927c3d7ba |
completed | May 18, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba0fa26488190b2246d85b9b5a7b5 |
completed | May 18, 2026, 11:30 p.m. |
Created at: April 17, 2026, 3:31 p.m.