Triple
T5338759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vibeke Brahe |
E123891
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Vibeke
Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
|
E511291
|
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: Vibeke | Statement: [Vibeke Brahe, givenName, Vibeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vibeke Context triple: [Vibeke Brahe, givenName, Vibeke]
-
A.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
B.
Ingeborg
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Kristina Tholstrup
Kristina Tholstrup is a Swedish socialite best known as the widow of James Bond actor Sir Roger Moore.
-
D.
Rebekka Vaark
Rebekka Vaark is a central character in Toni Morrison’s novel "A Mercy," depicted as a European immigrant wife navigating hardship, loss, and the complexities of early American colonial life on a remote farm.
-
E.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
- 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: Vibeke Triple: [Vibeke Brahe, givenName, Vibeke]
Generated description
Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vibeke Target entity description: Vibeke is a Scandinavian feminine given name of Old Norse origin, traditionally used in Denmark and Norway.
-
A.
Birgitte
Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
-
B.
Ingeborg
Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
-
C.
Kristina Tholstrup
Kristina Tholstrup is a Swedish socialite best known as the widow of James Bond actor Sir Roger Moore.
-
D.
Rebekka Vaark
Rebekka Vaark is a central character in Toni Morrison’s novel "A Mercy," depicted as a European immigrant wife navigating hardship, loss, and the complexities of early American colonial life on a remote farm.
-
E.
Astrid
Astrid is a Belgian princess and member of the country’s royal family.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85c8415c819099a0b26e07360f01 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18c54ca4819095ca1d81ee061937 |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf197733b48190910bdd60fbd94fff |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19e2d1fc81909030e32bb18d46dc |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 2 p.m.