Triple

T3814570
Position Surface form Disambiguated ID Type / Status
Subject Kimbell Art Museum E84219 entity
Predicate hasWorkBy P12366 FINISHED
Object Tiepolo E249876 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: Tiepolo | Statement: [Kimbell Art Museum, hasWorkBy, Tiepolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiepolo
Context triple: [Kimbell Art Museum, hasWorkBy, Tiepolo]
  • A. Giovanni Battista Tiepolo chosen
    Giovanni Battista Tiepolo was an 18th-century Venetian painter renowned for his grand, luminous frescoes and dramatic Baroque compositions across Italy and Central Europe.
  • B. Francesco Guardi
    Francesco Guardi was an 18th-century Venetian painter renowned for his atmospheric cityscapes and capriccios that captured the fading grandeur of Venice.
  • C. Veronese
    Veronese was a prominent 16th-century Italian Renaissance painter known for his grand, color-rich Venetian canvases and elaborate narrative compositions.
  • D. Luca Giordano
    Luca Giordano was a prolific 17th-century Italian Baroque painter renowned for his rapid execution and grand, dramatic frescoes across Italy and Spain.
  • E. Carlo Dolci
    Carlo Dolci was a 17th-century Italian Baroque painter from Florence, renowned for his highly finished, devout religious works and meticulous attention to detail.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8de9e948190bf461e55ad00eddb completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3ddc1481909fd4a8befb8ece17 completed March 14, 2026, 6:07 a.m.
Created at: March 9, 2026, 3:17 p.m.