Triple

T3947596
Position Surface form Disambiguated ID Type / Status
Subject Mönch E92183 entity
Predicate firstAscentBy P1321 FINISHED
Object Christian Kaufmann
Christian Kaufmann was a renowned Swiss mountain guide and alpinist active in the late 19th and early 20th centuries, known for numerous first ascents in the Alps and beyond.
 E418071 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: Christian Kaufmann | Statement: [Mönch, firstAscentBy, Christian Kaufmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christian Kaufmann
Context triple: [Mönch, firstAscentBy, Christian Kaufmann]
  • A. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • B. Felix Salzmann
    Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
  • C. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • D. Christian Meyer
    Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
  • E. Maximilian Scheffler
    Maximilian Scheffler is a scientist known as a notable student and protégé of the German quantum chemist Joachim Sauer.
  • 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: Christian Kaufmann
Triple: [Mönch, firstAscentBy, Christian Kaufmann]
Generated description
Christian Kaufmann was a renowned Swiss mountain guide and alpinist active in the late 19th and early 20th centuries, known for numerous first ascents in the Alps and beyond.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christian Kaufmann
Target entity description: Christian Kaufmann was a renowned Swiss mountain guide and alpinist active in the late 19th and early 20th centuries, known for numerous first ascents in the Alps and beyond.
  • A. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • B. Felix Salzmann
    Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
  • C. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • D. Christian Meyer
    Christian Meyer is the husband of American author Stephenie Meyer, best known for her Twilight series.
  • E. Maximilian Scheffler
    Maximilian Scheffler is a scientist known as a notable student and protégé of the German quantum chemist Joachim Sauer.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef0db56cc8190a5303e8fe0efbfc2 completed March 9, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f10d1008190a3bbe93c1215a244 completed March 14, 2026, 3:30 p.m.
NEDg Description generation batch_69b57fcd3d60819086ab5ad7b69242a2 completed March 14, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5803ec2088190ac9d4b3d34278e17 completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:24 p.m.