Triple
T4792974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markus Lüpertz |
E106646
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lüpertz |
E106646
|
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: Lüpertz | Statement: [Markus Lüpertz, familyName, Lüpertz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lüpertz Context triple: [Markus Lüpertz, familyName, Lüpertz]
-
A.
Markus Lüpertz
chosen
Markus Lüpertz is a German painter, sculptor, and key figure of Neo-Expressionism known for his bold, often monumental works that blend abstraction with figurative motifs.
-
B.
Luzi von Sonnenthal
Luzi von Sonnenthal was the wife of Austrian composer Erich Wolfgang Korngold and a member of the prominent Viennese theatrical Sonnenthal family.
-
C.
Neo Rauch
Neo Rauch is a German painter renowned for his large-scale, enigmatic figurative works that blend Socialist Realist aesthetics with surreal, dreamlike narratives.
-
D.
Georg Baselitz
Georg Baselitz is a German painter and sculptor known for his expressive, often inverted figurative works that challenged postwar artistic conventions.
-
E.
Hermann Balck
Hermann Balck was a highly regarded German panzer general of World War II, noted for his tactical skill in mobile warfare on both the Eastern and Western Fronts.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd66072ebc8190ae0e6cef1e7b07e4 |
completed | March 20, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43f0be108190aebcc9b1a824e624 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.