Triple

T13715028
Position Surface form Disambiguated ID Type / Status
Subject van Egmond E328873 entity
Predicate hasNotableMember P304 FINISHED
Object Arnold van Egmond E915334 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: Arnold van Egmond | Statement: [van Egmond, hasNotableMember, Arnold van Egmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arnold van Egmond
Context triple: [van Egmond, hasNotableMember, Arnold van Egmond]
  • A. Jan van Bijlert
    Jan van Bijlert was a Dutch Golden Age painter associated with the Utrecht Caravaggisti, known for his religious, genre, and portrait works influenced by Caravaggio’s dramatic use of light and shadow.
  • B. Willem Drost
    Willem Drost was a Dutch Golden Age painter and etcher known for his Rembrandt-influenced biblical and historical scenes.
  • C. George van Egmond chosen
    George van Egmond was a 16th-century Dutch nobleman and Catholic bishop from the influential House of Egmond, notably serving as Bishop of Utrecht.
  • D. Arnold Damen
    Arnold Damen was a 19th-century Jesuit priest and educator known for establishing Catholic educational institutions in the United States.
  • E. Willem Maris
    Willem Maris was a Dutch painter associated with the Hague School, renowned for his atmospheric landscapes and depictions of cattle in meadows.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b543308190a86e715106641484 completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 9:54 p.m.