Triple

T13008488
Position Surface form Disambiguated ID Type / Status
Subject Rerun van Pelt E322347 entity
Predicate familyName P18 FINISHED
Object van Pelt E1015996 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 Pelt | Statement: [Rerun van Pelt, familyName, van Pelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Pelt
Context triple: [Rerun van Pelt, familyName, van Pelt]
  • A. van Pelt chosen
    Van Pelt is the surname of several characters in Charles M. Schulz's "Peanuts" comic strip, most notably the bossy and opinionated Lucy van Pelt and her brother Linus.
  • B. Veltman
    Veltman is a Dutch surname most notably associated with physicist Martinus Veltman, a Nobel laureate recognized for his work in particle physics.
  • C. van Amsberg
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • D. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • E. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9cf0108190b02f498c6ccc91f8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbc77f308190b3b47f7a092db434 completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:48 p.m.