Triple

T43406
Position Surface form Disambiguated ID Type / Status
Subject Self-Portrait with a Straw Hat E853 entity
Predicate viewpoint P1101 FINISHED
Object frontal three-quarter view 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: frontal three-quarter view | Statement: [Self-Portrait with a Straw Hat, viewpoint, frontal three-quarter view]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewpoint
Context triple: [Self-Portrait with a Straw Hat, viewpoint, frontal three-quarter view]
  • A. opinionBy
    Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
  • B. orientation chosen
    Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
  • C. narrativePerspective
    Indicates the point of view or vantage from which a narrative is told, specifying the relationship between the storyteller and the events being described.
  • D. turningPointIn
    Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
  • E. purpose
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24c083ad081909c1122c8fb29efdc completed Feb. 28, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69a24aba9a2c81909f769a8f22e30c92 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.