Triple
T6331942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jørgen Brahe |
E142400
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Inger Oxe |
E590126
|
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: Inger Oxe | Statement: [Jørgen Brahe, relative, Inger Oxe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inger Oxe Context triple: [Jørgen Brahe, relative, Inger Oxe]
-
A.
Inger Oxe
chosen
Inger Oxe was a Danish noblewoman of the 16th century, known for her influential family connections within the Danish aristocracy.
-
B.
Gitte Nielsen
Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
-
C.
Ada Vilstrup
Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
-
D.
Inge Nissen
Inge Nissen is a former Danish basketball star best known for her standout collegiate career at Old Dominion University and subsequent induction into multiple halls of fame.
-
E.
Ingeborg Holm
Ingeborg Holm is a character in Thomas Mann’s novella "Tonio Kröger," representing part of the bourgeois world that shapes the protagonist’s conflicted feelings about art and ordinary life.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640aceaf88190bff029848444e23a |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 4:30 p.m.