Triple
T13965189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitte Nielsen |
E335903
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Kasper Winding |
E301308
|
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: Kasper Winding | Statement: [Gitte Nielsen, spouse, Kasper Winding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kasper Winding Context triple: [Gitte Nielsen, spouse, Kasper Winding]
-
A.
Kasper Winding
chosen
Kasper Winding is a Danish composer, producer, and musician known for his work on film scores, pop music, and various international collaborations.
-
B.
Jeppe Aakjær
Jeppe Aakjær was a prominent Danish poet and novelist associated with the Jutland movement, known for his socially conscious rural writings and contributions to early 20th-century Danish literature.
-
C.
Erik Skjoldbjærg
Erik Skjoldbjærg is a Norwegian film director and screenwriter known for his atmospheric psychological thrillers and influential contributions to Scandinavian cinema.
-
D.
Mads Tofte
Mads Tofte is a Danish computer scientist known for his influential work on the design and implementation of the Standard ML programming language and its type system.
-
E.
Jesper Nøhr
Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7e24f08190ba939a8044860033 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d890d48190affd194b2439c271 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.