Triple

T21646727
Position Surface form Disambiguated ID Type / Status
Subject Balfrin E534238 entity
Predicate firstAscentBy P1321 FINISHED
Object J. J. Weilenmann
J. J. Weilenmann was a 19th-century Swiss mountaineer known for pioneering ascents in the Alps.
 E1494645 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: J. J. Weilenmann | Statement: [Balfrin, firstAscentBy, J. J. Weilenmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J. J. Weilenmann
Context triple: [Balfrin, firstAscentBy, J. J. Weilenmann]
  • A. Martin Haller
    Martin Haller was a prominent German architect of the late 19th and early 20th centuries, known for designing major public and civic buildings in Hamburg.
  • B. Mathias Wakrat
    Mathias Wakrat is a musician best known as the drummer for the rock band Future User.
  • C. Christian Heinis
    Christian Heinis is a Swiss chemist and biotechnology entrepreneur known for pioneering work in bicyclic peptide therapeutics and co-founding the biotech company Bicycle Therapeutics.
  • D. Mathias Gnädinger
    Mathias Gnädinger was a prominent Swiss actor known for his powerful character roles in film, television, and theater.
  • E. Peter Camenzind
    Peter Camenzind is a 1904 coming-of-age novel by Hermann Hesse that follows a sensitive young man's search for meaning, art, and spiritual fulfillment amid the tensions between nature, society, and individualism.
  • 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: J. J. Weilenmann
Triple: [Balfrin, firstAscentBy, J. J. Weilenmann]
Generated description
J. J. Weilenmann was a 19th-century Swiss mountaineer known for pioneering ascents in the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: J. J. Weilenmann
Target entity description: J. J. Weilenmann was a 19th-century Swiss mountaineer known for pioneering ascents in the Alps.
  • A. Martin Haller
    Martin Haller was a prominent German architect of the late 19th and early 20th centuries, known for designing major public and civic buildings in Hamburg.
  • B. Mathias Wakrat
    Mathias Wakrat is a musician best known as the drummer for the rock band Future User.
  • C. Christian Heinis
    Christian Heinis is a Swiss chemist and biotechnology entrepreneur known for pioneering work in bicyclic peptide therapeutics and co-founding the biotech company Bicycle Therapeutics.
  • D. Mathias Gnädinger
    Mathias Gnädinger was a prominent Swiss actor known for his powerful character roles in film, television, and theater.
  • E. Peter Camenzind
    Peter Camenzind is a 1904 coming-of-age novel by Hermann Hesse that follows a sensitive young man's search for meaning, art, and spiritual fulfillment amid the tensions between nature, society, and individualism.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef591194dc8190a57b28eaddeceff5 completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a0fa684408190a3b1fa9b17df4057 completed May 17, 2026, 6:57 p.m.
NEDg Description generation batch_6a0a11148bac8190b328be525f03666d completed May 17, 2026, 7:03 p.m.
NED2 Entity disambiguation (via description) batch_6a0a11821c148190be5c4f87cdeae923 completed May 17, 2026, 7:05 p.m.
Created at: April 16, 2026, 6:35 p.m.