Triple

T14530776
Position Surface form Disambiguated ID Type / Status
Subject Peter Weiss E340907 entity
Predicate name P16 FINISHED
Object Peter Weiss E340907 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: Peter Weiss | Statement: [Peter Weiss, name, Peter Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Weiss
Context triple: [Peter Weiss, name, Peter Weiss]
  • A. Peter Weiss chosen
    Peter Weiss was a German-born Swedish writer, painter, and filmmaker best known for his politically charged plays such as "Marat/Sade" and his documentary novel "The Aesthetics of Resistance."
  • B. 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.
  • C. Herbert Huncke
    Herbert Huncke was an American writer, hustler, and streetwise raconteur whose gritty tales of New York’s underworld deeply influenced the writers of the Beat Generation.
  • D. Heinrich Böll
    Heinrich Böll was a German writer and Nobel Prize–winning novelist known for his critical portrayals of postwar German society.
  • E. 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.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea052d01c81909c8592c351be6f35 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a547c408190a1a19e12aac1d5bd completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.