Triple

T19094002
Position Surface form Disambiguated ID Type / Status
Subject Christ among the Doctors of the Law E467358 entity
Predicate typicalIconography P49031 FINISHED
Object Christ as a boy seated or standing among elders LITERAL 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: Christ as a boy seated or standing among elders | Statement: [Christ among the Doctors of the Law, typicalIconography, Christ as a boy seated or standing among elders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalIconography
Context triple: [Christ among the Doctors of the Law, typicalIconography, Christ as a boy seated or standing among elders]
  • A. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • B. iconographicCategory
    Indicates the classification of an entity based on the type or theme of its visual or symbolic representation.
  • C. iconographicSubject chosen
    Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
  • D. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • E. iconographicFunction
    Indicates the symbolic or representational role that something serves within an image or visual composition.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e34e1ee0819092f679d916e6e532 completed April 20, 2026, 8:26 a.m.
PD Predicate disambiguation batch_69e4b9a604308190a3235184f9f2c056 completed April 19, 2026, 11:16 a.m.
Created at: April 10, 2026, 12:04 p.m.