Triple

T9416258
Position Surface form Disambiguated ID Type / Status
Subject Jan Brand E227027 entity
Predicate name P16 FINISHED
Object Jan Brand E227027 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: Jan Brand | Statement: [Jan Brand, name, Jan Brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Brand
Context triple: [Jan Brand, name, Jan Brand]
  • A. Jan Brand chosen
    Jan Brand was a 19th-century South African statesman who served as a long-standing and influential president of the Orange Free State.
  • B. Adam van Noort
    Adam van Noort was a Flemish painter of the late 16th and early 17th centuries, known for his religious and historical works and for teaching prominent artists of the Antwerp school.
  • C. Dirck van Delen
    Dirck van Delen was a Dutch Golden Age painter renowned for his meticulously rendered architectural and church interior scenes.
  • D. Jan Matthys
    Jan Matthys was a 16th-century Dutch Anabaptist preacher and radical reformer who played a central role in establishing the short-lived theocratic regime in Münster.
  • E. Jan van Hout
    Jan van Hout was a 16th-century Dutch humanist, poet, and city secretary of Leiden known for his role in the Dutch Revolt and contributions to early modern Dutch literature and administration.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd68c9917481909f793a2a9efb2a75 completed April 1, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cd348948190b9b0844ce5a5af85 completed April 4, 2026, 3:22 p.m.
Created at: March 30, 2026, 7:48 p.m.