Triple

T21461371
Position Surface form Disambiguated ID Type / Status
Subject The Bearded Woman E529480 entity
Predicate creator P184 FINISHED
Object Jusepe de Ribera — NE NERFINISHED

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: Jusepe de Ribera | Statement: [The Bearded Woman, creator, Jusepe de Ribera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jusepe de Ribera
Context triple: [The Bearded Woman, creator, Jusepe de Ribera]
  • A. Jusepe de Ribera chosen
    Jusepe de Ribera was a 17th-century Spanish Tenebrist painter and printmaker, renowned for his dramatic use of light and shadow and intense religious and mythological scenes.
  • B. Zurbarán
    Zurbarán was a 17th-century Spanish Baroque painter renowned for his starkly realistic religious scenes and masterful use of chiaroscuro.
  • C. Luis de Morales
    Luis de Morales was a 16th-century Spanish Renaissance painter renowned for his intensely emotional religious works, especially his depictions of the Virgin Mary and Christ.
  • D. Francisco Pacheco
    Francisco Pacheco was a historical figure credited with establishing the Ecuadorian city of Portoviejo.
  • E. Francisco Pacheco
    Francisco Pacheco was a Spanish painter, art theorist, and influential Seville teacher best known as the mentor and father-in-law of Diego Velázquez.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ef0c0881908554977df00604a6 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.