Triple

T22854363
Position Surface form Disambiguated ID Type / Status
Subject Philips van Almonde E566438 entity
Predicate familyName P18 FINISHED
Object van Almonde NE NERFINISHED

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 Almonde | Statement: [Philips van Almonde, familyName, van Almonde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: van Almonde
Context triple: [Philips van Almonde, familyName, van Almonde]
  • A. van Almonde chosen
    Van Almonde is a Dutch noble family name most notably associated with Admiral Philips van Almonde, a prominent naval commander of the 17th-century Dutch Republic.
  • B. van Egmond
    Van Egmond is a Dutch noble family name historically associated with influential aristocratic lineages in the Netherlands.
  • C. van Alphen
    Van Alphen is a Dutch surname associated with various notable individuals in fields such as science, literature, and public life.
  • D. 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.
  • E. van Berkel
    van Berkel is a Dutch surname most notably associated with architect Ben van Berkel, co-founder of the architecture firm UNStudio.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebb4ea48190b4b865e316f6a75f completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:37 p.m.