Triple
T7060515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Brøgger |
E164203
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Brøgger
Brøgger is a Danish surname most notably associated with writer and cultural critic Suzanne Brøgger.
|
E638305
|
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: Brøgger | Statement: [Suzanne Brøgger, familyName, Brøgger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brøgger Context triple: [Suzanne Brøgger, familyName, Brøgger]
-
A.
Bata
Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
-
B.
Semler
Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
-
C.
Birks
Birks is the distinctive middle name of legendary American jazz trumpeter and bebop pioneer Dizzy Gillespie.
-
D.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
E.
Dr. Martens
Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
- 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: Brøgger Triple: [Suzanne Brøgger, familyName, Brøgger]
Generated description
Brøgger is a Danish surname most notably associated with writer and cultural critic Suzanne Brøgger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brøgger Target entity description: Brøgger is a Danish surname most notably associated with writer and cultural critic Suzanne Brøgger.
-
A.
Bata
Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
-
B.
Semler
Semler is a German surname most notably associated with Johann Salomo Semler, an influential 18th-century biblical scholar and theologian.
-
C.
Birks
Birks is the distinctive middle name of legendary American jazz trumpeter and bebop pioneer Dizzy Gillespie.
-
D.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
E.
Dr. Martens
Dr. Martens is a British footwear and clothing brand best known for its durable leather boots with air-cushioned soles, which have become iconic in various subcultures worldwide.
- 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_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. |
| NEDg | Description generation | batch_69c78968b8588190b26afb5fe1a976db |
completed | March 28, 2026, 7:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78a520b4081908b4822fb55c3dab9 |
completed | March 28, 2026, 7:59 a.m. |
Created at: March 27, 2026, 2:38 p.m.