Triple

T668733
Position Surface form Disambiguated ID Type / Status
Subject VVD E12924 entity
Predicate hasFormerLeader P7716 FINISHED
Object Hans Wiegel E188861 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: Hans Wiegel | Statement: [VVD, hasFormerLeader, Hans Wiegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Wiegel
Context triple: [VVD, hasFormerLeader, Hans Wiegel]
  • A. Hans Wiegel chosen
    Hans Wiegel is a prominent Dutch liberal politician who served as leader of the VVD and as Deputy Prime Minister of the Netherlands in the late 20th century.
  • B. Gerhard Doerfer
    Gerhard Doerfer was a German linguist renowned for his critical work on Turkic and other Central Asian languages and for his influential rejection of the proposed Altaic language family.
  • C. Ernst Göhner
    Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
  • D. Hans von Seisser
    Hans von Seisser was a Bavarian police official and head of the Munich police who played a key role in opposing Adolf Hitler’s 1923 Beer Hall Putsch.
  • E. Wilhelm Siegling
    Wilhelm Siegling was a German linguist and philologist known for his pioneering work on the Tocharian languages and their classification within the Indo-European language family.
  • 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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ff921288190a2e5edb201ba69ee completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb77a8908190bc3d5eb1b8ab3a03 completed March 8, 2026, 10:43 p.m.
Created at: March 1, 2026, 7:36 p.m.