Triple

T4678937
Position Surface form Disambiguated ID Type / Status
Subject Jan Peter Balkenende E103749 entity
Predicate spouse P13 FINISHED
Object Bianca Hoogendijk E87989 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: Bianca Hoogendijk | Statement: [Jan Peter Balkenende, spouse, Bianca Hoogendijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bianca Hoogendijk
Context triple: [Jan Peter Balkenende, spouse, Bianca Hoogendijk]
  • A. Bianca Hoogendijk chosen
    Bianca Hoogendijk is a Dutch woman best known as the wife of former Prime Minister of the Netherlands Jan Peter Balkenende.
  • B. Bianca Stigter
    Bianca Stigter is a Dutch filmmaker, writer, and historian known for her work on memory, history, and visual culture, including the documentary "Three Minutes: A Lengthening."
  • C. Simone Buitendijk
    Simone Buitendijk is a Dutch academic leader and scholar in higher education policy who has served as vice-chancellor of the University of Leeds.
  • D. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • E. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636acffc819094e03c5bb53203d8 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a497ac8190bd278a4bd531aa45 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.