Triple

T23386102
Position Surface form Disambiguated ID Type / Status
Subject Anthonie van Slingelandt E593884 entity
Predicate familyName P18 FINISHED
Object van Slingelandt E140959 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 Slingelandt | Statement: [Anthonie van Slingelandt, familyName, van Slingelandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Slingelandt
Context triple: [Anthonie van Slingelandt, familyName, van Slingelandt]
  • A. van Slingelandt chosen
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • B. Willem van Vliet
    Willem van Vliet is a relatively obscure individual whose name is noted primarily as a bearer of the Dutch surname "van Vliet."
  • C. Jan van Huchtenburg
    Jan van Huchtenburg was a Dutch Golden Age painter and engraver best known for his dynamic battle scenes and equestrian portraits.
  • D. Jan Wellem
    Jan Wellem is the popular nickname of Johann Wilhelm, Elector Palatine, a prominent late 17th- and early 18th-century German prince known for his patronage of the arts and close ties to Düsseldorf.
  • E. Jan van Vliet
    Jan van Vliet was a 17th-century Dutch scholar and philologist known for his work on Germanic languages and early Dutch history.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a498286c8190abfa381649812cf0 completed April 29, 2026, 6:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c82403e108190abd79eecc949a1d7 completed May 19, 2026, 3:31 p.m.
Created at: April 17, 2026, 5:35 p.m.