Triple

T20078416
Position Surface form Disambiguated ID Type / Status
Subject Rubens hunting scenes E499931 entity
Predicate notableWork P4 FINISHED
Object The Wild Boar Hunt NE NERFINISHED

How this triple was built (3 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: The Wild Boar Hunt | Statement: [Rubens hunting scenes, notableWork, The Wild Boar Hunt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wild Boar Hunt
Context triple: [Rubens hunting scenes, notableWork, The Wild Boar Hunt]
  • A. The Lion Hunt
    The Lion Hunt is a dramatic Romantic-era painting by Eugène Delacroix that depicts a chaotic, violent struggle between hunters and lions, showcasing his dynamic composition and vivid use of color.
  • B. The Lion Hunt
    The Lion Hunt is a dramatic Baroque painting by Peter Paul Rubens depicting a violent, dynamic struggle between hunters and lions, celebrated for its intense movement and vivid realism.
  • C. The Tiger in the Well
    The Tiger in the Well is a historical mystery novel by Philip Pullman featuring young detective Sally Lockhart as she confronts a sinister conspiracy in Victorian London.
  • D. The Hunt in the Forest
    The Hunt in the Forest is a late Gothic–early Renaissance painting by Paolo Uccello, celebrated for its dramatic nocturnal hunting scene and pioneering use of linear perspective.
  • E. Lord of the Hunt
    Lord of the Hunt is a downloadable expansion for the action-adventure game Middle-earth: Shadow of Mordor that focuses on monster hunting and new warchief enemies.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Wild Boar Hunt
Target entity description: The Wild Boar Hunt is a dramatic Baroque painting by Peter Paul Rubens that vividly depicts a chaotic and dynamic boar-hunting scene filled with powerful figures and intense movement.
  • A. The Lion Hunt
    The Lion Hunt is a dramatic Romantic-era painting by Eugène Delacroix that depicts a chaotic, violent struggle between hunters and lions, showcasing his dynamic composition and vivid use of color.
  • B. The Lion Hunt
    The Lion Hunt is a dramatic Baroque painting by Peter Paul Rubens depicting a violent, dynamic struggle between hunters and lions, celebrated for its intense movement and vivid realism.
  • C. The Tiger in the Well
    The Tiger in the Well is a historical mystery novel by Philip Pullman featuring young detective Sally Lockhart as she confronts a sinister conspiracy in Victorian London.
  • D. The Hunt in the Forest
    The Hunt in the Forest is a late Gothic–early Renaissance painting by Paolo Uccello, celebrated for its dramatic nocturnal hunting scene and pioneering use of linear perspective.
  • E. Lord of the Hunt
    Lord of the Hunt is a downloadable expansion for the action-adventure game Middle-earth: Shadow of Mordor that focuses on monster hunting and new warchief enemies.
  • F. None of above. chosen

Provenance (2 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643e216c819088c002fc1de2772a completed April 20, 2026, 5:37 p.m.
Created at: April 11, 2026, 3:40 p.m.