Triple

T14044090
Position Surface form Disambiguated ID Type / Status
Subject The Notwist E337913 entity
Predicate hasMember P10 FINISHED
Object Martin Gretschmann E801640 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: Martin Gretschmann | Statement: [The Notwist, hasMember, Martin Gretschmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Gretschmann
Context triple: [The Notwist, hasMember, Martin Gretschmann]
  • A. Martin Gretschmann chosen
    Martin Gretschmann is a German electronic musician and producer best known for his work as Console and as a member of The Notwist.
  • 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. Tonio Fischer
    Tonio Fischer is the fictional protagonist of the 1957 film "Interlude," around whom the romantic drama’s central story revolves.
  • D. Armin Schenk
    Armin Schenk is a German local politician who serves as the mayor of the town of Bitterfeld-Wolfen in Saxony-Anhalt.
  • E. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd192ee1ac81908663ebd2e06784f1 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:20 p.m.