Triple
T22110298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poul Schlüter |
E546395
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Poul Schlüter |
—
|
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: Poul Schlüter | Statement: [Poul Schlüter, name, Poul Schlüter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poul Schlüter Context triple: [Poul Schlüter, name, Poul Schlüter]
-
A.
Poul Schlüter
chosen
Poul Schlüter was a Danish politician who served as Prime Minister of Denmark from 1982 to 1993 and led the Conservative People's Party.
-
B.
Ole Meldgaard
Ole Meldgaard is a screenwriter best known for co-writing the World War II survival film "Into the White."
-
C.
Poul S. Christiansen
Poul S. Christiansen was a Danish painter associated with the Funen Painters, known for his expressive landscapes and use of vibrant color.
-
D.
Mogens Fog
Mogens Fog was a Danish physician, communist politician, and prominent leader in the Danish resistance against Nazi occupation during World War II.
-
E.
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.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12948c2ec819083340787b2062649 |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:30 p.m.