Triple
T13530268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Møller |
E323113
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Møller |
E323113
|
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: Møller | Statement: [Christian Møller, familyName, Møller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Møller Context triple: [Christian Møller, familyName, Møller]
-
A.
Hugo Lous Mohr
Hugo Lous Mohr was a Norwegian painter best known for his monumental church decorations and religious artworks in the early to mid-20th century.
-
B.
Nikolaj Malchow-Møller
Nikolaj Malchow-Møller is a Danish economist and academic leader who serves as the rector of Copenhagen Business School.
-
C.
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.
-
D.
Christian Møller
chosen
Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
-
E.
Georg E.W. Møller
Georg E.W. Møller was a Danish architect known for designing the Statens Museum for Kunst, Denmark’s national gallery in Copenhagen.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7549fc5f881908691eb62c1f5a5d5 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:44 p.m.