Triple
T18037758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vulcania |
E431554
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Hans Hollein |
—
|
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: Hans Hollein | Statement: [Vulcania, architect, Hans Hollein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Hollein Context triple: [Vulcania, architect, Hans Hollein]
-
A.
Hans Hollein
chosen
Hans Hollein was an influential Austrian architect and designer known for his postmodern buildings and his role in shaping late 20th-century architecture.
-
B.
Werner Kogler
Werner Kogler is an Austrian Green Party politician who has served as the country’s vice-chancellor and is known for his role in bringing the Greens into a federal governing coalition.
-
C.
Hans Baluschek
Hans Baluschek was a German painter, graphic artist, and writer known for his socially critical depictions of Berlin’s working-class life around the turn of the 20th century.
-
D.
Hans Wagner
Hans Wagner is the commonly used name for Johannes Peter Wagner, a German sculptor known for his work in the late 18th and early 19th centuries.
-
E.
Werner Gruner
Werner Gruner was a German engineer and weapons designer best known for creating the MG 42 general-purpose machine gun used by Nazi Germany during World War II.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3bc3208190a6db569e79f06232 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.