Triple

T16617947
Position Surface form Disambiguated ID Type / Status
Subject Dusk (Michelangelo) E403742 entity
Predicate iconographicSeries P109026 FINISHED
Object personifications of times of day 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: personifications of times of day | Statement: [Dusk (Michelangelo), iconographicSeries, personifications of times of day]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iconographicSeries
Context triple: [Dusk (Michelangelo), iconographicSeries, personifications of times of day]
  • A. iconographicCycle chosen
    Indicates a relationship where multiple visual representations are linked together as parts of a coherent, sequential iconographic narrative or thematic series.
  • B. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • C. iconographicVariant
    Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
  • D. iconographicSubject
    Indicates that one entity serves as the depicted subject or theme represented in the iconography of another entity.
  • E. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754bc4cc8190a586732fc6507b40 completed April 18, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69e296aabc508190b3836a91b49113ad completed April 17, 2026, 8:23 p.m.
Created at: April 10, 2026, 5:17 a.m.