Triple

T2749176
Position Surface form Disambiguated ID Type / Status
Subject Impressionist exhibitions E60941 entity
Predicate hasParticipant P149 FINISHED
Object Félix Ziem E230293 NE 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: Félix Ziem | Statement: [Impressionist exhibitions, hasParticipant, Félix Ziem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Félix Ziem
Context triple: [Impressionist exhibitions, hasParticipant, Félix Ziem]
  • A. Félix Ziem chosen
    Félix Ziem was a 19th-century French painter known for his luminous landscapes and cityscapes, particularly of Venice and the Mediterranean, associated with the Barbizon school.
  • B. Gustav Riebmann
    Gustav Riebmann is a fictional character from the American prime-time soap opera "Falcon Crest," known for being a powerful and manipulative antagonist.
  • C. Bernard Zehrfuss
    Bernard Zehrfuss was a prominent 20th-century French architect known for his modernist public and institutional buildings.
  • D. Frantz Reichel
    Frantz Reichel was a prominent French sports administrator, journalist, and former athlete who played a key role in organizing and promoting modern sports in France and internationally.
  • E. Emil Sieg
    Emil Sieg was a German linguist and philologist known for his pioneering work on Tocharian and other Indo-European languages.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb517a00819084fd8f8933a25212 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd573988190988d7af4997202fb completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.