Triple

T4909509
Position Surface form Disambiguated ID Type / Status
Subject Martin Kippenberger E110197 entity
Predicate name P16 FINISHED
Object Martin Kippenberger E110197 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: Martin Kippenberger | Statement: [Martin Kippenberger, name, Martin Kippenberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Kippenberger
Context triple: [Martin Kippenberger, name, Martin Kippenberger]
  • A. Martin Kippenberger chosen
    Martin Kippenberger was a German contemporary artist known for his provocative, eclectic, and often satirical works spanning painting, sculpture, installation, and performance.
  • B. Howard Kippenberger
    Howard Kippenberger was a distinguished New Zealand military commander who led troops with notable effectiveness during the Second World War.
  • 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. Sigmar Polke
    Sigmar Polke was a German painter and photographer known for his experimental, often satirical works that blended Pop Art, abstraction, and conceptual art.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e99414081908c3d3283f563bba4 completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe43a888190ab1b150da0f49203 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.