Triple

T15400563
Position Surface form Disambiguated ID Type / Status
Subject van Vliet E368302 entity
Predicate hasVariant P455 FINISHED
Object Van Vliet E368302 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: Van Vliet | Statement: [van Vliet, hasVariant, Van Vliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Van Vliet
Context triple: [van Vliet, hasVariant, Van Vliet]
  • A. van Vliet chosen
    Van Vliet is a Dutch surname borne by various notable individuals, including artists, athletes, and public figures.
  • B. Paul van Vliet
    Paul van Vliet was a renowned Dutch cabaret performer, comedian, and writer, celebrated as one of the Netherlands’ most beloved stage entertainers.
  • C. Van Ronk
    Van Ronk is the surname of Dave Van Ronk, an influential American folk singer and key figure in the 1960s Greenwich Village music scene.
  • D. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • E. Willem van der Vliet
    Willem van der Vliet was a Dutch Golden Age painter from Delft, known for his portraits and history paintings and as an early mentor to his nephew Hendrick Cornelisz. van Vliet.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.