Triple

T19089855
Position Surface form Disambiguated ID Type / Status
Subject European Romantic landscape tradition E467254 entity
Predicate hasNotableArtist P2487 FINISHED
Object Francisco Goya 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: Francisco Goya | Statement: [European Romantic landscape tradition, hasNotableArtist, Francisco Goya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Goya
Context triple: [European Romantic landscape tradition, 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 Toledo
    Goya Toledo is a Spanish actress and former model best known internationally for her role in the acclaimed film "Amores perros."
  • C. Goya
    Goya is Habana Labs’ AI inference processor designed to accelerate deep learning workloads with high efficiency and scalability.
  • D. Goya
    Goya is a central, upscale neighborhood in Madrid, Spain, known for its shopping streets, cultural venues, and sports arenas.
  • E. Francisco de Pareja
    Francisco de Pareja was a Spanish Franciscan missionary and linguist best known for his early 17th-century work documenting and publishing grammars and catechisms in the Timucua language of Florida.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34a589c8190b5171fab45bf2204 completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.