Triple

T34270669
Position Surface form Disambiguated ID Type / Status
Subject Ram in a Thicket figurines E879304 entity
Predicate iconographicInterpretation P24674 FINISHED
Object possible reference to fertility 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: possible reference to fertility | Statement: [Ram in a Thicket figurines, iconographicInterpretation, possible reference to fertility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iconographicInterpretation
Context triple: [Ram in a Thicket figurines, iconographicInterpretation, possible reference to fertility]
  • A. iconographicRepresentation
    Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
  • B. iconographicForm
    Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
  • C. iconographicFunction chosen
    Indicates the symbolic or representational role that something serves within an image or visual composition.
  • D. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • E. iconographicStructure
    Indicates the way visual elements are organized and related within an image or icon, defining its internal compositional structure.
  • 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_69f349b4f5fc819094b441d18e95e5f1 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71362f1448190985a80ce7af475cb completed May 3, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f7127884388190884f23d181a65d19 completed May 3, 2026, 9:16 a.m.
Created at: May 1, 2026, 1:56 a.m.