Triple
T7060513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Brøgger |
E164203
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Suzanne Brøgger |
E164203
|
NE FINISHED |
How this triple was built (2 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: Suzanne Brøgger | Statement: [Suzanne Brøgger, name, Suzanne Brøgger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Brøgger Context triple: [Suzanne Brøgger, name, Suzanne Brøgger]
-
A.
Suzanne Brøgger
chosen
Suzanne Brøgger is a Danish author and essayist known for her provocative, feminist, and often autobiographical explorations of sexuality, identity, and social norms.
-
B.
Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
-
C.
Hanne Jacobsen
Hanne Jacobsen is a Danish choreographer and former dancer best known as the longtime wife of actor Mads Mikkelsen.
-
D.
Gitte Nielsen
Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
-
E.
Bergljot Bech
Bergljot Bech was the wife of Norwegian Nobel Prize–winning author Knut Hamsun and a figure in early 20th-century Norwegian cultural life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e459de348190912cd5326fb8bee0 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788af20cc819084542035410aafbd |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:38 p.m.