Triple

T16553529
Position Surface form Disambiguated ID Type / Status
Subject Donald Voet E402132 entity
Predicate spouse P13 FINISHED
Object Judith Voet E1220534 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: Judith Voet | Statement: [Donald Voet, spouse, Judith Voet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Judith Voet
Context triple: [Donald Voet, spouse, Judith Voet]
  • A. Judith Voet chosen
    Judith Voet is a biochemist and textbook author best known for co-authoring the widely used biochemistry textbook "Biochemistry" with her husband Donald Voet.
  • B. Judith van Leeuwen
    Judith van Leeuwen was the wife of Dutch Golden Age painter and mezzotint engraver Jan Verkolje.
  • C. 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.
  • D. Trijntje Oosterhuis
    Trijntje Oosterhuis is a Dutch singer known for her soulful pop and jazz performances, both as a solo artist and as a former member of the group Total Touch.
  • E. Johanna de Jongh
    Johanna de Jongh was the wife of Dutch Golden Age painter Jan Asselijn, about whom little is historically documented beyond her marital connection to the artist.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc737ac8190b755e2a39b6ef32b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006edbd8388190b9a96c1cc5c9119e completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.