Triple

T18412434
Position Surface form Disambiguated ID Type / Status
Subject Jopie Fourie E441793 entity
Predicate givenName P17 FINISHED
Object Jopie 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: Jopie | Statement: [Jopie Fourie, givenName, Jopie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jopie
Context triple: [Jopie Fourie, givenName, Jopie]
  • A. Jopie chosen
    Jopie is a given name most notably associated with Jopie Fourie, an Afrikaner rebel and national figure in early 20th-century South African history.
  • B. Mieke
    Mieke is a central character in the comedy film "EuroTrip," known as the elusive European pen pal who motivates the protagonists' journey across Europe.
  • C. Jeetze
    Jeetze is a river in northern Germany that flows through the town of Salzwedel in the state of Saxony-Anhalt.
  • D. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking countries.
  • E. Joris
    Joris is a Dutch designer best known for his innovative, technology-driven furniture and experimental design projects.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a24e130819082b92f98d8d5fa3c completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.