Triple

T16389372
Position Surface form Disambiguated ID Type / Status
Subject Goya Award for Best Original Screenplay E398008 entity
Predicate namedAfter P63 FINISHED
Object Francisco de 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 de Goya | Statement: [Goya Award for Best Original Screenplay, namedAfter, Francisco de Goya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco de Goya
Context triple: [Goya Award for Best Original Screenplay, namedAfter, Francisco de 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. Julio Romero de Torres
    Julio Romero de Torres was a Spanish painter renowned for his symbolist and sensual depictions of Andalusian women and popular culture in the early 20th century.
  • E. Valencia Joaquín Sorolla
    Valencia Joaquín Sorolla is a major high-speed railway station in Valencia, Spain, serving as a key hub for AVE and long-distance train services.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.