Triple

T12305609
Position Surface form Disambiguated ID Type / Status
Subject Jonkvrouw van Amsberg E293343 entity
Predicate familyNameComponent P18 FINISHED
Object van Amsberg E294249 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 Amsberg | Statement: [Jonkvrouw van Amsberg, familyNameComponent, van Amsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Amsberg
Context triple: [Jonkvrouw van Amsberg, familyNameComponent, van Amsberg]
  • A. van Amsberg chosen
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • B. van Wijnbergen
    Van Wijnbergen is a Dutch surname associated with individuals such as Everdine Huberta van Wijnbergen.
  • C. van Swanenburg
    Van Swanenburg is a Dutch family name historically associated with artists and notable figures from the Netherlands.
  • D. van Riemsdijk
    Van Riemsdijk is a Dutch surname associated with several notable figures, including colonial administrators and scholars from the Netherlands.
  • E. van Slingelandt
    Van Slingelandt is a Dutch surname historically associated with a prominent political and administrative family in the Netherlands.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e7f8fd08190bdef3bb761d53f97 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.