Triple

T5622491
Position Surface form Disambiguated ID Type / Status
Subject Aphrodite Anadyomene E147640 entity
Predicate typicalPose P42040 FINISHED
Object standing nude 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: standing nude | Statement: [Aphrodite Anadyomene, typicalPose, standing nude]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalPose
Context triple: [Aphrodite Anadyomene, typicalPose, standing nude]
  • A. showsPose
    Indicates that one entity displays or presents a particular pose or bodily posture of another entity.
  • B. typicalFigure
    Indicates that one entity serves as a standard or representative example (a typical instance) of the other entity.
  • C. describesPosture chosen
    Indicates that one entity specifies or characterizes the bodily position or stance (posture) of another entity.
  • D. typicalStillType
    Indicates that something represents the usual or characteristic form, style, or configuration that an entity typically has or uses.
  • E. hasSeatingPose
    Indicates that an entity is in a seated posture or arrangement, specifying how it is positioned while sitting.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022133eec819086acb04864dde5ee completed March 22, 2026, 5:08 p.m.
PD Predicate disambiguation batch_69c01b1d4b108190846ce586dc783acf completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:40 p.m.