Triple

T2119086
Position Surface form Disambiguated ID Type / Status
Subject Matthias Zurbriggen E43875 entity
Predicate name P16 FINISHED
Object Matthias Zurbriggen E43875 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: Matthias Zurbriggen | Statement: [Matthias Zurbriggen, name, Matthias Zurbriggen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthias Zurbriggen
Context triple: [Matthias Zurbriggen, name, Matthias Zurbriggen]
  • A. Matthias Zurbriggen chosen
    Matthias Zurbriggen was a Swiss mountaineer and guide renowned for making the first recorded ascent of Aconcagua and several other significant climbs in the Andes and Himalayas.
  • B. Roger Wehrli
    Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
  • C. Ueli Maurer
    Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
  • D. Andreas Maurer
    Andreas Maurer was a mountaineer known for making the first recorded ascent of the Alpine peak Mont Maudit in the Mont Blanc massif.
  • E. Mathias Vicherat
    Mathias Vicherat is a French executive and public administrator who serves as the president of the prestigious political science university Sciences Po in Paris.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb3117c081908c5e748a869d1f9f completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae307b08148190aa201ac038ce9944 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:44 p.m.