Triple

T25122113
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Dr. Simarro at the Microscope E629292 entity
Predicate showsViewpoint P9787 FINISHED
Object side view of sitter at work 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: side view of sitter at work | Statement: [Portrait of Dr. Simarro at the Microscope, showsViewpoint, side view of sitter at work]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: showsViewpoint
Context triple: [Portrait of Dr. Simarro at the Microscope, showsViewpoint, side view of sitter at work]
  • A. hasViewingPointFor
    Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
  • B. viewpointFrom chosen
    Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
  • C. perspectiveOf
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • D. viewpointNear
    Indicates that one entity serves as a viewpoint or vantage location that is geographically close to another entity.
  • E. exploresPerspectiveOf
    Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with 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_69e2ff3288048190bd82c3b7f7bd0e62 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465cd44188190827d138b292a411a completed May 1, 2026, 8:35 a.m.
PD Predicate disambiguation batch_69f44d8043b081908bbffd7f044b4f26 completed May 1, 2026, 6:51 a.m.
Created at: April 18, 2026, 6:28 a.m.