Triple

T2949656
Position Surface form Disambiguated ID Type / Status
Subject Maria Luisa of Parma E79588 entity
Predicate portraitSubject P14098 FINISHED
Object Francisco Goya E8545 NE FINISHED

How this triple was built (3 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: [Maria Luisa of Parma, portraitSubject, Francisco Goya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francisco Goya
Context triple: [Maria Luisa of Parma, portraitSubject, 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. Fernando Velázquez
    Fernando Velázquez is a Spanish film composer and conductor known for his evocative orchestral scores for movies such as "The Orphanage," "The Impossible," and "Crimson Peak."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraitSubject
Context triple: [Maria Luisa of Parma, portraitSubject, Francisco Goya]
  • A. portraitSpecialization
    Indicates that one entity specializes in creating or working with portraits, distinguishing a focused area of expertise within a broader artistic or professional domain.
  • B. portraitArtist chosen
    Indicates that one entity is the artist who created a portrait depicting the other entity.
  • C. depictsPerson
    Indicates that one entity visually represents or portrays a specific person.
  • D. publicFigure
    Indicates that an entity is widely recognized by the public and holds a prominent or influential role in society, such as in politics, entertainment, or media.
  • E. avatar
    Indicates that one entity serves as a representation, embodiment, or proxy of another entity, often in a different form or medium.
  • F. None of above.

Provenance (4 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98f95da88190a036a18f39f221c2 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276cc19b48190a952015c9e501dd6 completed March 12, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69ad960a70ac8190816b5ae3e8631031 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:57 p.m.