Triple
T13670762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jørgen Christensen-Dalsgaard |
E327741
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jørgen |
E484121
|
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: Jørgen | Statement: [Jørgen Christensen-Dalsgaard, givenName, Jørgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jørgen Context triple: [Jørgen Christensen-Dalsgaard, givenName, Jørgen]
-
A.
Jørgen
chosen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
B.
Søren
Søren is a masculine given name of Scandinavian origin, most famously borne by the Danish philosopher Søren Kierkegaard.
-
C.
Bjørn
Bjørn is a Scandinavian male given name, commonly used in Norway and Denmark and meaning "bear."
-
D.
Erik Jørgensen
Erik Jørgensen was a Norwegian firearms designer best known for co-developing the Krag–Jørgensen bolt-action rifle used by several national armies in the late 19th and early 20th centuries.
-
E.
Johannes Joergensen
Johannes Joergensen is a songwriter best known for his work on the song "More Than a Woman."
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0f56048190bcbc6581a8cdc0f5 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.