Triple

T3814568
Position Surface form Disambiguated ID Type / Status
Subject Kimbell Art Museum E84219 entity
Predicate hasWorkBy P12366 FINISHED
Object Murillo E117965 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: Murillo | Statement: [Kimbell Art Museum, hasWorkBy, Murillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murillo
Context triple: [Kimbell Art Museum, hasWorkBy, Murillo]
  • A. Murillo chosen
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • B. Calvero
    Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
  • C. Redon
    Redon is a French surname most notably associated with the Symbolist painter and printmaker Odilon Redon.
  • D. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • E. San Policarpo
    San Policarpo is a coastal municipality in the province of Eastern Samar in the Philippines, known for its fishing communities and exposure to Pacific typhoons.
  • 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.