Triple

T1783377
Position Surface form Disambiguated ID Type / Status
Subject Iveagh Bequest E39336 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: [Iveagh Bequest, hasWorkBy, Murillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murillo
Context triple: [Iveagh Bequest, 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. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • E. Molinero
    Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e4cf108190891338052b581ae8 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5ce137481909fde04dfa2d6a45a completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.