Triple

T3231362
Position Surface form Disambiguated ID Type / Status
Subject Willem van Nassau E67746 entity
Predicate spouse P13 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: [Willem van Nassau, spouse, Anna van Egmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna van Egmond
Context triple: [Willem van Nassau, spouse, 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaed99d2c8190950fa883ec6f1f8e completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28e9f56b881908742f2aff68b2a34 completed March 12, 2026, 9:59 a.m.
Created at: March 8, 2026, 3:08 p.m.