Triple

T12294072
Position Surface form Disambiguated ID Type / Status
Subject Cornelis de Graeff E293037 entity
Predicate associatedWith P37 FINISHED
Object Andries Bicker E295529 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: Andries Bicker | Statement: [Cornelis de Graeff, associatedWith, Andries Bicker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andries Bicker
Context triple: [Cornelis de Graeff, associatedWith, Andries Bicker]
  • A. Andries Bicker chosen
    Andries Bicker was a powerful 17th-century Amsterdam regent and merchant who played a leading role in the Dutch Republic’s politics during its Golden Age.
  • B. Adriaan Goekoop
    Adriaan Goekoop was a prominent Dutch archaeologist, collector, and patron of the arts known for his significant contributions to the cultural and historical heritage of The Hague.
  • C. Roelof Vos
    Roelof Vos is a Dutch aerospace engineer and academic known for his work in aircraft design and aerodynamics.
  • D. Hermanus Brinkman
    Hermanus Brinkman is a person notable enough to be recognized as a distinguished bearer of the Brinkman surname.
  • E. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d23def88190adbaa282dd03d6c6 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8cf0e8819088f5ee03495bbf61 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:52 p.m.