Triple

T5225109
Position Surface form Disambiguated ID Type / Status
Subject Murillo E117965 entity
Predicate familyName P18 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: [Murillo, familyName, Murillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murillo
Context triple: [Murillo, familyName, 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. Redon
    Redon is a small historic town in western France known for its canal junction and medieval abbey, situated near the borders of Brittany and Pays de la Loire.
  • E. Calixto
    Calixto is a masculine given name of Spanish origin, historically borne by several notable Latin American figures.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adb034c819086bf8a85fbf158f4 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeffc51888190938dc157b14c4b6c completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.