Triple

T11686231
Position Surface form Disambiguated ID Type / Status
Subject Joost van der Westhuizen E277750 entity
Predicate givenName P17 FINISHED
Object Joost E102852 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: Joost | Statement: [Joost van der Westhuizen, givenName, Joost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joost
Context triple: [Joost van der Westhuizen, givenName, Joost]
  • A. Joost chosen
    Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
  • B. Joost
    Joost was an online video distribution service and Internet TV platform co-created by Skype and Kazaa co-founder Niklas Zennström.
  • C. Joost Lips
    Joost Lips was a Flemish humanist and classical scholar of the late Renaissance, renowned for his influential works on Stoic philosophy and Roman history.
  • D. Jelle
    Jelle is a Dutch given name commonly used for males, particularly in the Netherlands and Friesland.
  • E. Joost Vos
    Joost Vos is a Dutch architect best known as a leading partner at the renowned architecture firm Benthem Crouwel Architekten, contributing to major public and infrastructural projects.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4654be881909bd0256cf18e25de completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef1433be908190b2ac887655a6c85a completed April 27, 2026, 7:45 a.m.
Created at: April 8, 2026, 9:40 p.m.