Triple

T20460730
Position Surface form Disambiguated ID Type / Status
Subject Inside Hitler's Bunker E501915 entity
Predicate author P4 FINISHED
Object Joachim Fest NE NERFINISHED

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: Joachim Fest | Statement: [Inside Hitler's Bunker, author, Joachim Fest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim Fest
Context triple: [Inside Hitler's Bunker, author, Joachim Fest]
  • A. Joachim Fest chosen
    Joachim Fest was a prominent German historian, journalist, and author best known for his influential works on Adolf Hitler and the Third Reich.
  • B. Christian Schwochow
    Christian Schwochow is a German film and television director known for his work on historical dramas and international productions such as "Munich – The Edge of War."
  • C. Daniel Kehlmann
    Daniel Kehlmann is a contemporary German-language novelist best known internationally for his bestselling historical novel "Measuring the World."
  • D. Lorenz Bock
    Lorenz Bock was a German politician who became the inaugural Minister-President of the post–World War II state of Württemberg-Hohenzollern.
  • E. Timothy Snyder
    Timothy Snyder is an American historian and Yale professor renowned for his works on Eastern Europe, the Holocaust, and the political uses of history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a642648190808709020f91122b completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.