Triple

T21349176
Position Surface form Disambiguated ID Type / Status
Subject Hendrick van Balen E526426 entity
Predicate student P7251 FINISHED
Object Victor Wolfvoet 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: Victor Wolfvoet | Statement: [Hendrick van Balen, student, Victor Wolfvoet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Victor Wolfvoet
Context triple: [Hendrick van Balen, student, Victor Wolfvoet]
  • A. Victor Wolfvoet chosen
    Victor Wolfvoet was a Flemish Baroque painter from Antwerp known for his religious and mythological scenes.
  • B. John Hoogenakker
    John Hoogenakker is an American actor known for his roles in television series such as Jack Ryan and Castle Rock, as well as various film and commercial appearances.
  • C. Nicolaas Diederichs
    Nicolaas Diederichs was a South African National Party politician and economist who served as the country’s ceremonial State President during the apartheid era in the 1970s.
  • D. Hans Waloschek
    Hans Waloschek was a German architect best known for designing Hamburg’s iconic Heinrich-Hertz-Turm telecommunications tower.
  • E. Johannes van der Meer
    Johannes van der Meer is another name for Johannes Vermeer, the renowned 17th-century Dutch painter celebrated for his masterful use of light and intimate domestic interior scenes.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5baab4e081908916a289c607cf3a completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:02 p.m.