Triple

T10541155
Position Surface form Disambiguated ID Type / Status
Subject Günther Uecker E248697 entity
Predicate name P16 FINISHED
Object Günther Uecker E248697 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: Günther Uecker | Statement: [Günther Uecker, name, Günther Uecker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Günther Uecker
Context triple: [Günther Uecker, name, Günther Uecker]
  • A. Günther Uecker chosen
    Günther Uecker is a German artist best known for his sculptural reliefs and installations featuring dense fields of hammered nails, associated with the ZERO movement.
  • B. Georg Baselitz
    Georg Baselitz is a German painter and sculptor known for his expressive, often inverted figurative works that challenged postwar artistic conventions.
  • C. Markus Lüpertz
    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.
  • D. Gerhard Marcks
    Gerhard Marcks was a German sculptor and graphic artist closely associated with the early Bauhaus movement and known for his expressive figurative works.
  • E. Daniel Spoerri
    Daniel Spoerri is a Swiss artist and writer best known for his "snare-pictures," assemblages that capture and preserve everyday objects and meal remnants as frozen moments in time.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.