Triple

T20310209
Position Surface form Disambiguated ID Type / Status
Subject Rijcken E510216 entity
Predicate hasVariant P455 FINISHED
Object Rijckens NE NERFINISHED

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: Rijckens | Statement: [Rijcken, hasVariant, Rijckens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rijckens
Context triple: [Rijcken, hasVariant, Rijckens]
  • A. Rijcken chosen
    Rijcken is a Dutch surname, historically borne by several notable figures in the Netherlands.
  • B. Theo Heemskerk
    Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
  • C. Goudriaan
    Goudriaan is a small village in the Dutch province of South Holland, known for its rural character and historic polder landscape.
  • D. Freek de Jonge
    Freek de Jonge is a Dutch cabaret performer, comedian, and writer known for his sharp political satire and influential role in the Netherlands’ modern cabaret tradition.
  • E. Jan Schreuder
    Jan Schreuder was an 18th-century Dutch colonial administrator who served as Governor of Ceylon under the Dutch East India Company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677436af88190a046c44fa45b68b4 completed April 20, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:19 a.m.