Triple

T19618302
Position Surface form Disambiguated ID Type / Status
Subject Meijer family E470924 entity
Predicate hasNotableMember P304 FINISHED
Object Hendrik Meijer 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: Hendrik Meijer | Statement: [Meijer family, hasNotableMember, Hendrik Meijer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hendrik Meijer
Context triple: [Meijer family, hasNotableMember, Hendrik Meijer]
  • A. Hendrik Meijer chosen
    Hendrik Meijer was a Dutch-born American entrepreneur who founded the Meijer supermarket chain, a pioneer of the modern supercenter retail concept in the United States.
  • B. Peter de Jonge
    Peter de Jonge is an American author and journalist best known for co-writing several bestselling crime novels with James Patterson.
  • C. Frank van der Meijden
    Frank van der Meijden is a Dutch local politician who serves as the mayor of the municipality of Laarbeek in the Netherlands.
  • D. Albert Huizenga
    Albert Huizenga was a mountaineer known for being part of the team that achieved the first recorded ascent of Puncak Jaya, the highest peak in Oceania.
  • E. Hendrik Tennekes
    Hendrik Tennekes was a Dutch meteorologist and turbulence researcher known for his influential work in atmospheric boundary-layer dynamics and co-authoring the classic text "A First Course in Turbulence."
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e346548190b12e38d716bdfc4f completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:43 p.m.