Triple

T5187559
Position Surface form Disambiguated ID Type / Status
Subject Downfall E117069 entity
Predicate mainCharacter P1183 FINISHED
Object Joseph Goebbels E28588 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: Joseph Goebbels | Statement: [Downfall, mainCharacter, Joseph Goebbels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Goebbels
Context triple: [Downfall, mainCharacter, Joseph Goebbels]
  • A. Joseph Goebbels chosen
    Joseph Goebbels was the Nazi Party’s Minister of Propaganda, notorious for orchestrating mass propaganda campaigns that fueled Adolf Hitler’s regime and antisemitic policies.
  • B. Heinrich Speer
    Heinrich Speer is a relatively obscure historical figure known primarily through records that list him as a notable bearer of the surname Speer.
  • C. Hans Speer
    Hans Speer is a German architect and urban planner known for his work in the mid-20th century.
  • D. Werner Speer
    Werner Speer is a relatively obscure individual known primarily for sharing the Speer surname rather than for widely documented public achievements.
  • E. Rudolf von Ribbentrop
    Rudolf von Ribbentrop was a German Waffen-SS officer during World War II and the son of Nazi Germany’s foreign minister Joachim von Ribbentrop.
  • 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_69bd44620ff48190bcac01782107a397 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79c56280819085926316f7b520bc completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee08807748190ae8f34a6e8875c15 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:46 p.m.