Triple

T19502525
Position Surface form Disambiguated ID Type / Status
Subject Piz Buin E487938 entity
Predicate firstAscentBy P1321 FINISHED
Object Joseph Anton Specht NE NERFINISHED

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: Joseph Anton Specht | Statement: [Piz Buin, firstAscentBy, Joseph Anton Specht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Anton Specht
Context triple: [Piz Buin, firstAscentBy, Joseph Anton Specht]
  • A. Joseph Anton Specht chosen
    Joseph Anton Specht was a mountaineer known for making the first recorded ascent of Zuckerhütl, a prominent peak in the Stubai Alps of Austria.
  • B. Anton Eberl
    Anton Eberl was an Austrian composer, pianist, and contemporary of Mozart and Beethoven, known for his symphonies, chamber music, and piano works in the late Classical era.
  • C. Philipp Schwartzerdt
    Philipp Schwartzerdt, better known as Philip Melanchthon, was a leading German humanist and key collaborator of Martin Luther in the Protestant Reformation.
  • D. Erich Schiffmann
    Erich Schiffmann is an American yoga master and author known for his influential teachings on intuitive, meditative yoga practice.
  • E. Theodor Sparkuhl
    Theodor Sparkuhl was a German-born cinematographer known for his expressive lighting and camera work in both European and Hollywood films during the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6350f8d888190a4809c83522933d4 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.