Triple

T22314614
Position Surface form Disambiguated ID Type / Status
Subject Pieter Coecke van Aelst E551608 entity
Predicate spouse P13 FINISHED
Object Mayken Verhulst 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: Mayken Verhulst | Statement: [Pieter Coecke van Aelst, spouse, Mayken Verhulst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayken Verhulst
Context triple: [Pieter Coecke van Aelst, spouse, Mayken Verhulst]
  • A. Mayken Verhulst chosen
    Mayken Verhulst was a prominent 16th-century Flemish painter and miniaturist, often regarded as one of the most important female artists of the Northern Renaissance.
  • B. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • C. Maria van den Boogaard
    Maria van den Boogaard was the wife of Dutch politician and former Prime Minister Louis Beel.
  • D. Anna van den Corput
    Anna van den Corput was a 17th-century Dutch woman best known as the mother of prominent Grand Pensionary and statesman Johan de Witt.
  • E. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15751bf208190b8938a00d1afd157 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.