Triple

T15710677
Position Surface form Disambiguated ID Type / Status
Subject Michael Berg E380828 entity
Predicate creator P184 FINISHED
Object Bernhard Schlink E199444 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: Bernhard Schlink | Statement: [Michael Berg, creator, Bernhard Schlink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernhard Schlink
Context triple: [Michael Berg, creator, Bernhard Schlink]
  • A. Bernhard Schlink chosen
    Bernhard Schlink is a German lawyer, legal scholar, and novelist best known internationally for his novel "The Reader," which explores memory, guilt, and the legacy of the Holocaust.
  • B. Heinrich Böll
    Heinrich Böll was a German writer and Nobel Prize–winning novelist known for his critical portrayals of postwar German society.
  • C. Günter Grass
    Günter Grass was a Nobel Prize–winning German novelist, poet, and playwright best known for his seminal postwar novel "The Tin Drum" and his critical engagement with Germany’s Nazi past.
  • D. Siegfried Lenz
    Siegfried Lenz was a prominent German writer and novelist, best known for works such as "Deutschstunde" ("The German Lesson") and for his significant contribution to postwar German literature.
  • E. Alfred Andersch
    Alfred Andersch was a German writer and radio editor known for his postwar novels and essays that critically examined German society and the legacy of World War II.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757d74b481909c8332a09ae36b4f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.