Triple
T16260794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruhn |
E394748
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Annika Bruhn
Annika Bruhn is a German competitive swimmer who has represented Germany at multiple international championships, including the Olympic Games.
|
E1201727
|
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: Annika Bruhn | Statement: [Bruhn, hasNotableBearer, Annika Bruhn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annika Bruhn Context triple: [Bruhn, hasNotableBearer, Annika Bruhn]
-
A.
Annika Hansen
Annika Hansen is the human birth name of Seven of Nine, a former Borg drone and prominent character in the Star Trek franchise.
-
B.
Annika Lammers
Annika Lammers is a person notable enough to be recognized as a bearer of the surname Lammers.
-
C.
Annika Barthine
Annika Barthine is known as the former spouse of Swedish politician and former Prime Minister Göran Persson.
-
D.
Annika Persson
Annika Persson is a notable individual who shares the Persson surname, which is common in Sweden and associated with several prominent figures in politics, business, and culture.
-
E.
Johanna Herting
Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
- 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: Annika Bruhn Triple: [Bruhn, hasNotableBearer, Annika Bruhn]
Generated description
Annika Bruhn is a German competitive swimmer who has represented Germany at multiple international championships, including the Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annika Bruhn Target entity description: Annika Bruhn is a German competitive swimmer who has represented Germany at multiple international championships, including the Olympic Games.
-
A.
Annika Hansen
Annika Hansen is the human birth name of Seven of Nine, a former Borg drone and prominent character in the Star Trek franchise.
-
B.
Annika Lammers
Annika Lammers is a person notable enough to be recognized as a bearer of the surname Lammers.
-
C.
Annika Barthine
Annika Barthine is known as the former spouse of Swedish politician and former Prime Minister Göran Persson.
-
D.
Annika Persson
Annika Persson is a notable individual who shares the Persson surname, which is common in Sweden and associated with several prominent figures in politics, business, and culture.
-
E.
Johanna Herting
Johanna Herting was the wife of 19th-century civil engineer John A. Roebling, known for supporting him during his career designing pioneering suspension bridges such as the Brooklyn Bridge.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c3e5388190942b0237ab5d1f0f |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000eee110c819088d99b80435ab70b |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f7e6338819099598bc22d31cd22 |
completed | May 10, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a001025300c819084933d9c6d19fe97 |
completed | May 10, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:04 a.m.