Triple
T16610261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Swarowsky |
E403547
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hans Swarowsky |
E403547
|
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: Hans Swarowsky | Statement: [Hans Swarowsky, name, Hans Swarowsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Swarowsky Context triple: [Hans Swarowsky, name, Hans Swarowsky]
-
A.
Hans Swarowsky
chosen
Hans Swarowsky was an influential Austrian conductor and pedagogue renowned for training many prominent 20th-century conductors.
-
B.
Oskar Pfister
Oskar Pfister was a Swiss Reformed pastor and pioneering psychoanalyst known for integrating Freudian psychoanalysis with Christian theology and pastoral care.
-
C.
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.
-
D.
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.
-
E.
Hans Wittwer
Hans Wittwer was a Swiss modernist architect and Bauhaus-affiliated designer known for his pioneering functionalist work, including the influential ADGB Trade Union School in Bernau.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609572508190a5d7e6c3e0a8cf95 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aca5c0819092637e0d83ce8ac0 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.