Triple

T9469296
Position Surface form Disambiguated ID Type / Status
Subject Old Master prints E228350 entity
Predicate hasNotableArtist P2487 FINISHED
Object Francisco Goya E8545 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: Francisco Goya | Statement: [Old Master prints, hasNotableArtist, Francisco Goya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Goya
Context triple: [Old Master prints, hasNotableArtist, Francisco Goya]
  • A. Francisco Goya chosen
    Francisco Goya was a pioneering Spanish Romantic painter and printmaker renowned for his powerful portraits, dark and haunting imagery, and critical depictions of war and society.
  • B. Goya
    Goya is Habana Labs’ AI inference processor designed to accelerate deep learning workloads with high efficiency and scalability.
  • C. Zurbarán
    Zurbarán was a 17th-century Spanish Baroque painter renowned for his starkly realistic religious scenes and masterful use of chiaroscuro.
  • D. Jusepe de Ribera
    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.
  • E. Antonio de Gaztañeta
    Antonio de Gaztañeta was a prominent early 18th-century Spanish admiral and naval architect known for modernizing the Spanish fleet and leading it in major engagements.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fe0c26c8190b17c4dd9d1d8410c completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122c45ae88190a43d70300bed98da completed April 4, 2026, 2:40 p.m.
Created at: March 30, 2026, 7:53 p.m.