Triple

T3270212
Position Surface form Disambiguated ID Type / Status
Subject Philip William, Prince of Orange E68627 entity
Predicate mother P120 FINISHED
Object Anna van Egmond E65518 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: Anna van Egmond | Statement: [Philip William, Prince of Orange, mother, Anna van Egmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna van Egmond
Context triple: [Philip William, Prince of Orange, mother, Anna van Egmond]
  • A. Anna van Egmond chosen
    Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
  • B. Anna van Gelder
    Anna van Gelder was the wife of famed Dutch admiral Michiel de Ruyter and a member of the Dutch bourgeoisie in the 17th century.
  • C. 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.
  • D. Astrid Nienhuis
    Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
  • E. Coosje van Bruggen
    Coosje van Bruggen was a Dutch-American sculptor and art historian best known for her large-scale public art collaborations with her husband Claes Oldenburg.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff349148190beae8c0994b7ad83 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83e11f081909d64287c0902124a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.