Triple

T15191883
Position Surface form Disambiguated ID Type / Status
Subject The Fucking Champs E363033 entity
Predicate hasPastMember P5021 FINISHED
Object Kurt Schlegel E363033 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: Kurt Schlegel | Statement: [The Fucking Champs, hasPastMember, Kurt Schlegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurt Schlegel
Context triple: [The Fucking Champs, hasPastMember, Kurt Schlegel]
  • A. Kurt Schlegel chosen
    Kurt Schlegel is a musician best known for his past role in the instrumental heavy metal band The Fucking Champs.
  • B. Tonio Kröger
    Tonio Kröger is a novella by Thomas Mann that explores the inner conflict of an artist torn between bourgeois respectability and bohemian creativity.
  • C. Franz Pforr
    Franz Pforr was a German Romantic painter and a key early member of the Nazarene movement, known for his medievalizing, religiously inspired art.
  • D. Fritz Johan Schlegel
    Fritz Johan Schlegel was a Danish architect known for his contributions to early modernist and functionalist architecture in Denmark.
  • E. Walther von Stolzing
    Walther von Stolzing is the young nobleman and aspiring poet-singer who serves as the romantic hero in Richard Wagner’s opera "Die Meistersinger von Nürnberg."
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.