Triple
T18184727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay Fisker |
E435380
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fisker |
—
|
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: Fisker | Statement: [Kay Fisker, familyName, Fisker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fisker Context triple: [Kay Fisker, familyName, Fisker]
-
A.
Fisker
chosen
Fisker is a Danish surname most notably associated with architect Kay Fisker and, more broadly, with several prominent Danish figures in design, architecture, and the arts.
-
B.
Fisk
Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
-
C.
Fram
Fram was a pioneering Norwegian polar exploration ship, specially designed for Arctic and Antarctic expeditions led by explorers such as Fridtjof Nansen and Roald Amundsen.
-
D.
Ulstein
Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
-
E.
Naish
Naish is a surname most notably associated with American character actor J. Carrol Naish, who appeared in numerous films and television shows in the mid-20th century.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffdccd881908da772db78b9d081 |
completed | April 19, 2026, 2 p.m. |
Created at: April 10, 2026, 10:31 a.m.