Triple
T4371965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Fisker |
E98916
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kay Fisker |
E98916
|
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: Kay Fisker | Statement: [Kay Fisker, name, Kay Fisker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Fisker Context triple: [Kay Fisker, name, Kay Fisker]
-
A.
Kay Fisker
chosen
Kay Fisker was a prominent Danish architect known for his influential role in early 20th-century Nordic Classicism and for designing functional yet elegantly proportioned residential buildings.
-
B.
Andreas Mogensen
Andreas Mogensen is a Danish engineer and astronaut with the European Space Agency, known as the first Dane to fly in space.
-
C.
Peter Jensen
Peter Jensen is a fictional character appearing in the Danish Western thriller film "The Salvation."
-
D.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
-
E.
Jon Jensen
Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50ec35481908cf1e1afffda19cb |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.