Triple

T994990
Position Surface form Disambiguated ID Type / Status
Subject Thomas Kretschmann E21474 entity
Predicate participatedIn P149 FINISHED
Object Downfall E117069 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: Downfall | Statement: [Thomas Kretschmann, participatedIn, Downfall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downfall
Context triple: [Thomas Kretschmann, participatedIn, Downfall]
  • A. Downfall
    Downfall is the codename for the planned but never executed Allied invasion of the Japanese home islands near the end of World War II.
  • B. Downfall chosen
    Downfall is a 2004 German historical war drama film depicting the final days of Adolf Hitler and the Third Reich in a besieged Berlin bunker.
  • C. Luftbrücke
    Luftbrücke is the German term for the Berlin Airlift, the Allied operation that supplied West Berlin by air during the Soviet blockade of 1948–1949.
  • D. Defense of the Reich
    Defense of the Reich was the German Luftwaffe’s World War II air defense campaign aimed at protecting Nazi Germany from Allied strategic bombing.
  • E. Schindlerjuden
    Schindlerjuden were the group of Jewish men, women, and children whose lives were saved from the Holocaust by German industrialist Oskar Schindler through their employment in his factories.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c75de88190bf7fec7a053f7a90 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2a18db488190bf7d604fe6a33b9e completed March 7, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:41 p.m.