Triple

T3075846
Position Surface form Disambiguated ID Type / Status
Subject Roger Wehrli E64134 entity
Predicate familyName P18 FINISHED
Object Wehrli
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
E325569 NE FINISHED

How this triple was built (4 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: Wehrli | Statement: [Roger Wehrli, familyName, Wehrli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wehrli
Context triple: [Roger Wehrli, familyName, Wehrli]
  • A. Wüthrich
    Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
  • B. Zurbriggen
    Zurbriggen is a Swiss surname notably associated with mountaineers and alpine skiers.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Schuffenecker
    Schuffenecker is the surname of Émile Schuffenecker, a French Post-Impressionist painter and close associate of Paul Gauguin.
  • E. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wehrli
Triple: [Roger Wehrli, familyName, Wehrli]
Generated description
Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wehrli
Target entity description: Wehrli is a surname most notably associated with Roger Wehrli, a Hall of Fame American football cornerback who played for the St. Louis Cardinals.
  • A. Wüthrich
    Wüthrich is a Swiss surname most notably associated with Nobel Prize–winning chemist Kurt Wüthrich.
  • B. Zurbriggen
    Zurbriggen is a Swiss surname notably associated with mountaineers and alpine skiers.
  • C. Mossenberg-Wöhren
    Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
  • D. Schuffenecker
    Schuffenecker is the surname of Émile Schuffenecker, a French Post-Impressionist painter and close associate of Paul Gauguin.
  • E. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • F. None of above. chosen

Provenance (5 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada150d8e08190bde5f68e800e8feb completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f889e7fc8190858845221998f321 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1fc3dc05081909e31da44fb8b37c7 completed March 11, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69b1fd2088388190b405726e7869e112 completed March 11, 2026, 11:39 p.m.
Created at: March 8, 2026, 3:02 p.m.