Triple

T1777863
Position Surface form Disambiguated ID Type / Status
Subject Johan Barthold Jongkind E39221 entity
Predicate familyName P18 FINISHED
Object Jongkind E39221 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: Jongkind | Statement: [Johan Barthold Jongkind, familyName, Jongkind]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jongkind
Context triple: [Johan Barthold Jongkind, familyName, Jongkind]
  • A. Johan Barthold Jongkind chosen
    Johan Barthold Jongkind was a 19th-century Dutch painter whose innovative treatment of light and atmosphere made him an important forerunner of French Impressionism.
  • B. Meindert Hobbema
    Meindert Hobbema was a Dutch Golden Age landscape painter renowned for his detailed depictions of wooded scenes and country roads.
  • C. Joachim Wtewael
    Joachim Wtewael was a Dutch Mannerist painter and draftsman of the late 16th and early 17th centuries, known for his highly detailed, vividly colored religious and mythological scenes.
  • D. Emanuel de Witte
    Emanuel de Witte was a Dutch Golden Age painter renowned for his atmospheric church interiors and masterful use of light and perspective.
  • E. Théo van Rysselberghe
    Théo van Rysselberghe was a Belgian painter renowned for his leading role in Neo-Impressionism and his masterful use of pointillist technique.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b967f08190a73216361b9c2d83 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4fd0ec8190904f1ad2155c58bf completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.