Triple
T17390922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mogens Fog |
E422819
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mogens Fog |
—
|
NE NERFINISHED |
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: Mogens Fog | Statement: [Mogens Fog, name, Mogens Fog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mogens Fog Context triple: [Mogens Fog, name, Mogens Fog]
-
A.
Mogens Fog
chosen
Mogens Fog was a Danish physician, communist politician, and prominent leader in the Danish resistance against Nazi occupation during World War II.
-
B.
Poul Martin Møller
Poul Martin Møller was a Danish philosopher, poet, and professor known for his influential contributions to Danish Romanticism and for mentoring the young Søren Kierkegaard.
-
C.
Poul Reichhardt
Poul Reichhardt was a prominent Danish film and stage actor, especially known for his roles in classic Danish comedies and dramas from the 1930s through the 1960s.
-
D.
Poul Christian Hansen
Poul Christian Hansen was a notable individual surnamed Hansen, though specific widely known biographical details about him are not clearly established in common reference sources.
-
E.
Ole Hassager
Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ab950d4819098d6a46f67c46191 |
completed | April 19, 2026, 2:15 a.m. |
Created at: April 10, 2026, 5:45 a.m.