Triple

T9924419
Position Surface form Disambiguated ID Type / Status
Subject Gertrude E187883 entity
Predicate cognate P2527 FINISHED
Object Geertruida E828908 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: Geertruida | Statement: [Gertrude, cognate, Geertruida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geertruida
Context triple: [Gertrude, cognate, Geertruida]
  • A. Geertruida chosen
    Geertruida is a Dutch feminine given name, corresponding to the English name Gertrude.
  • B. Neeltje Jans
    Neeltje Jans was the wife of famed Dutch admiral Michiel de Ruyter and a 17th-century Dutch woman about whom relatively little is historically documented compared to her prominent husband.
  • C. Marijke
    Marijke is the baptismal name of Princess Christina of the Netherlands, the youngest daughter of Queen Juliana and Prince Bernhard.
  • D. Hendrika
    Hendrika is a feminine given name of Dutch origin, commonly used in the Netherlands and related to the name Hendrickje.
  • E. Geertje Dircx
    Geertje Dircx was a 17th-century Dutch woman known primarily as Rembrandt’s former lover and housekeeper, later believed by some scholars to have modeled for his painting "Danaë."
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb598651081908286763ff56ba57c completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228c23a2c81908fa2cb3a4f90d198 completed April 5, 2026, 9:17 a.m.
Created at: March 30, 2026, 8:43 p.m.