Triple

T8320872
Position Surface form Disambiguated ID Type / Status
Subject Gregor E194828 entity
Predicate notableBearer P458 FINISHED
Object Gregor Schlierenzauer E736966 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: Gregor Schlierenzauer | Statement: [Gregor, notableBearer, Gregor Schlierenzauer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregor Schlierenzauer
Context triple: [Gregor, notableBearer, Gregor Schlierenzauer]
  • A. Gregor Schlierenzauer chosen
    Gregor Schlierenzauer is an Austrian ski jumper who became one of the sport’s most successful athletes, winning multiple World Cup titles and Olympic medals.
  • B. Marcel Hirscher
    Marcel Hirscher is an Austrian former alpine ski racer widely regarded as one of the greatest in the sport’s history, having won multiple overall World Cup titles and Olympic medals.
  • C. Andreas Rabl
    Andreas Rabl is an Austrian politician who serves as the mayor of the city of Wels.
  • D. Anderl Heckmair
    Anderl Heckmair was a German mountaineer renowned for leading the first successful ascent of the Eiger’s notorious north face in 1938.
  • E. Hermann Maier
    Hermann Maier is an Austrian alpine ski racer and multiple Olympic and World Cup champion renowned for his powerful, aggressive style and dominance in the late 1990s and early 2000s.
  • 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_69ca82e7a8a88190a32bb5cc0feb012d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f67aee88190b245f8d6e57a40b2 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d941ca081909cc03949304c5052 completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:55 p.m.