Triple

T36471704
Position Surface form Disambiguated ID Type / Status
Subject Nebamun E898553 entity
Predicate iconographicSignificance P185557 FINISHED
Object example of elite non-royal tomb art 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: example of elite non-royal tomb art | Statement: [Nebamun, iconographicSignificance, example of elite non-royal tomb art]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iconographicSignificance
Context triple: [Nebamun, iconographicSignificance, example of elite non-royal tomb art]
  • A. iconographicFunction
    Indicates the symbolic or representational role that something serves within an image or visual composition.
  • B. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • C. iconographicRepresentation
    Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
  • D. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • E. iconographicForm
    Indicates the specific visual or symbolic representation that an entity takes within an image or artwork.
  • F. None of above. chosen

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_69f76e58ebd88190b75d9b169b59d793 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7be9d07ac8190adf796cbef60daf6 completed May 3, 2026, 9:31 p.m.
PD Predicate disambiguation batch_69f7bccf05bc8190b61fdb2b2a315811 completed May 3, 2026, 9:23 p.m.
PDg Predicate description generation batch_69f7be9b9ab481908328e0e8d8ac73d4 completed May 3, 2026, 9:31 p.m.
Created at: May 3, 2026, 4:10 p.m.