Triple

T22523359
Position Surface form Disambiguated ID Type / Status
Subject Johanna van Gogh-Bonger E556834 entity
Predicate familyName P18 FINISHED
Object Bonger NE NERFINISHED

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: Bonger | Statement: [Johanna van Gogh-Bonger, familyName, Bonger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonger
Context triple: [Johanna van Gogh-Bonger, familyName, Bonger]
  • A. Bonger chosen
    Bonger is a Dutch surname most notably associated with Johanna van Gogh-Bonger, the key figure in preserving and promoting Vincent van Gogh’s artistic legacy.
  • B. Bouhler
    Bouhler is a German surname most notably associated with Philipp Bouhler, a high-ranking Nazi official and close associate of Adolf Hitler.
  • C. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • D. Burgon
    Burgon is an English surname most notably associated with composer Geoffrey Burgon.
  • E. Boulger
    Boulger is a surname, likely a variant spelling of Bulger, borne by various individuals of Irish or British origin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.