Triple

T6748632
Position Surface form Disambiguated ID Type / Status
Subject Gauleiter of Berlin E154284 entity
Predicate officeHolder P537 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: [Gauleiter of Berlin, officeHolder, Joseph Goebbels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Goebbels
Context triple: [Gauleiter of Berlin, officeHolder, 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1d8bfa48190a7fc48102258ae17 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b180f188190b380909c46fbce40 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.