Triple

T34946821
Position Surface form Disambiguated ID Type / Status
Subject Lansdowne collection E1007876 entity
Predicate containsWorkWithIconography P37076 FINISHED
Object Madonna and Child 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: Madonna and Child | Statement: [Lansdowne collection, containsWorkWithIconography, Madonna and Child]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsWorkWithIconography
Context triple: [Lansdowne collection, containsWorkWithIconography, Madonna and Child]
  • A. has iconography
    Indicates that one entity is visually represented, symbolized, or depicted through the imagery or symbols associated with another entity.
  • B. hasIconographicTradition
    Indicates that an entity is associated with a recognized, recurring set of visual motifs or symbolic representations within a particular artistic or cultural tradition.
  • C. hasIconographicFigure chosen
    Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
  • D. hasIconographicProgram
    Indicates that one entity possesses or is associated with a specific iconographic program, i.e., a structured set of visual motifs or symbolic imagery.
  • E. combinesIconographyOf
    Indicates that one entity incorporates or merges the symbolic imagery or visual motifs traditionally associated with another entity.
  • F. None of above.

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_69f76dc5d4308190b77553ee07b1ede6 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a009273634c8190b5b9c87053b56760 completed May 10, 2026, 2:13 p.m.
PD Predicate disambiguation batch_6a0092171230819096e4274dd97e0410 completed May 10, 2026, 2:11 p.m.
Created at: May 3, 2026, 4 p.m.