Triple

T5319653
Position Surface form Disambiguated ID Type / Status
Subject Crank E121639 entity
Predicate musicBy P1952 FINISHED
Object Paul Haslinger E485902 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: Paul Haslinger | Statement: [Crank, musicBy, Paul Haslinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Haslinger
Context triple: [Crank, musicBy, Paul Haslinger]
  • A. Paul Haslinger chosen
    Paul Haslinger is an Austrian composer and musician known for his work on film, television, and video game scores, as well as for being a former member of the electronic music group Tangerine Dream.
  • B. Thomas Häßler
    Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
  • C. Martin Sauer
    Martin Sauer is a relatively common personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • D. Roger Wehrli
    Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
  • E. Peter Weibel
    Peter Weibel was an influential Austrian artist, curator, and media theorist known for his pioneering work in conceptual and media art and his leadership roles in major European art institutions.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855407048190bcdb97c7098cc2aa completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a8c43988190814e3b2cca509f15 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:59 p.m.