Triple

T8616284
Position Surface form Disambiguated ID Type / Status
Subject Bosack Kruger Foundation E204045 entity
Predicate hasFoundersRelationship P7844 FINISHED
Object married couple Leonard Bosack and Sandy Lerner LITERAL 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: married couple Leonard Bosack and Sandy Lerner | Statement: [Bosack Kruger Foundation, hasFoundersRelationship, married couple Leonard Bosack and Sandy Lerner]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFoundersRelationship
Context triple: [Bosack Kruger Foundation, hasFoundersRelationship, married couple Leonard Bosack and Sandy Lerner]
  • A. hasParentCompanyFounder
    Indicates that an entity is the founder of the parent company of another entity.
  • B. hasCoFounderRoleOf
    Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
  • C. hasTypicalFounder
    Indicates that an entity is commonly or characteristically founded or established by a particular type of founder.
  • D. hasFamilialTieTo chosen
    Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
  • E. founderAlsoOwns
    Indicates that the person or entity who founded something also retains ownership of it.
  • F. None of above.

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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4703b57c81909511de72fa5c38d7 completed March 31, 2026, 10:13 p.m.
PD Predicate disambiguation batch_69cc455437488190b7506f820daf6e32 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:25 p.m.