Triple

T5684828
Position Surface form Disambiguated ID Type / Status
Subject Pieter Bruegel the Elder E125285 entity
Predicate motherInLaw P18075 FINISHED
Object Mayken Verhulst
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.
 E540685 NE FINISHED

How this triple was built (4 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 Bruegel the Elder, motherInLaw, Mayken Verhulst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mayken Verhulst
Context triple: [Pieter Bruegel the Elder, motherInLaw, Mayken Verhulst]
  • A. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • B. 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.
  • C. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • D. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • E. Emily Damstra
    Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mayken Verhulst
Triple: [Pieter Bruegel the Elder, motherInLaw, Mayken Verhulst]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mayken Verhulst
Target entity description: 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.
  • A. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • B. 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.
  • C. Maayke Velders
    Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
  • D. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • E. Emily Damstra
    Emily Damstra is a Canadian-born scientific illustrator and coin designer known for her detailed nature-themed artwork for the U.S. Mint and other institutions.
  • F. None of above. chosen

Provenance (5 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023b8efc4819085675d0d3dfb2a54 completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a3d2b348190b44a067f485bca70 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb6a334819094cff84f16f5285c completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c7a03948190b38e2dfcb04fd93e completed March 22, 2026, 9:17 p.m.
Created at: March 22, 2026, 3:44 p.m.