Triple

T18430482
Position Surface form Disambiguated ID Type / Status
Subject Smenkhkare E450253 entity
Predicate iconographyDebate P71342 FINISHED
Object sometimes identified in damaged royal scenes at Amarna 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: sometimes identified in damaged royal scenes at Amarna | Statement: [Smenkhkare, iconographyDebate, sometimes identified in damaged royal scenes at Amarna]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iconographyDebate
Context triple: [Smenkhkare, iconographyDebate, sometimes identified in damaged royal scenes at Amarna]
  • A. iconographyInfluence
    Indicates that one entity’s visual symbols, motifs, or stylistic elements have shaped or informed the iconographic style or imagery of another entity.
  • B. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • C. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • D. iconographicSubject
    Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
  • E. iconographyStatus chosen
    Indicates the current condition, completeness, or interpretive state of an entity’s iconographic representation.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b16b9c881908245c888a4b785bf completed April 19, 2026, 6:12 p.m.
PD Predicate disambiguation batch_69e469c943a4819094c8fdc5971ad3a7 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:26 a.m.