Triple

T20423275
Position Surface form Disambiguated ID Type / Status
Subject The Portrait of a Man E500919 entity
Predicate hasDepictionFocus P30524 FINISHED
Object psychological characterization of sitter 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: psychological characterization of sitter | Statement: [The Portrait of a Man, hasDepictionFocus, psychological characterization of sitter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDepictionFocus
Context triple: [The Portrait of a Man, hasDepictionFocus, psychological characterization of sitter]
  • A. depictionFocus chosen
    Indicates that a depiction (such as an image or illustration) is primarily focused on or centered around a particular entity or subject.
  • B. isDepictedVia
    Indicates that one entity is represented, illustrated, or shown by means of another entity, such as a specific medium, style, or method of depiction.
  • C. imageDepictedIn
    Indicates that a particular image is shown, represented, or included within another resource or context.
  • D. hasExhibitionFocus
    Indicates that an exhibition is primarily centered on, or thematically dedicated to, a particular subject, medium, or focus area.
  • E. visualDepictionOnScreen
    Indicates that one entity is visually shown or rendered on a screen as a depiction 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba6c9b48190b1e96d0ef07002ed completed April 20, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:30 a.m.