Triple
T16260802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruhn |
E394748
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Annette Bruhn
Annette Bruhn is a notable individual who bears the surname Bruhn, recognized for her contributions associated with that family name.
|
E1203693
|
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: Annette Bruhn | Statement: [Bruhn, hasNotableBearer, Annette Bruhn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annette Bruhn Context triple: [Bruhn, hasNotableBearer, Annette Bruhn]
-
A.
Annette Walle
Annette Walle is an actress known for appearing in the film "Esther Kahn."
-
B.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
C.
Annette K. Olesen
Annette K. Olesen is a Danish film director and screenwriter known for her critically acclaimed, character-driven dramas and participation in major international film festivals.
-
D.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
-
E.
Brigitte Mohnhaupt
Brigitte Mohnhaupt is a former leading member of the German far-left militant group Red Army Faction, involved in several high-profile terrorist attacks during the 1970s and 1980s.
- 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: Annette Bruhn Triple: [Bruhn, hasNotableBearer, Annette Bruhn]
Generated description
Annette Bruhn is a notable individual who bears the surname Bruhn, recognized for her contributions associated with that family name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annette Bruhn Target entity description: Annette Bruhn is a notable individual who bears the surname Bruhn, recognized for her contributions associated with that family name.
-
A.
Annette Walle
Annette Walle is an actress known for appearing in the film "Esther Kahn."
-
B.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
C.
Annette K. Olesen
Annette K. Olesen is a Danish film director and screenwriter known for her critically acclaimed, character-driven dramas and participation in major international film festivals.
-
D.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
-
E.
Brigitte Mohnhaupt
Brigitte Mohnhaupt is a former leading member of the German far-left militant group Red Army Faction, involved in several high-profile terrorist attacks during the 1970s and 1980s.
- 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_6a0017b3b48c8190ad0043d730b1da35 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018951f888190b70e098e4af3a90a |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00190887088190a5a0eb2cfd674c98 |
completed | May 10, 2026, 5:35 a.m. |
Created at: April 10, 2026, 5:04 a.m.