Triple

T10654318
Position Surface form Disambiguated ID Type / Status
Subject Edgar Jung E251049 entity
Predicate fullName P16 FINISHED
Object Edgar Julius Jung E251049 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: Edgar Julius Jung | Statement: [Edgar Jung, fullName, Edgar Julius Jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edgar Julius Jung
Context triple: [Edgar Jung, fullName, Edgar Julius Jung]
  • A. Edgar Jung chosen
    Edgar Jung was a conservative German lawyer, political thinker, and outspoken critic of the Nazi regime who was murdered during the Night of the Long Knives in 1934.
  • B. Theodor Jung
    Theodor Jung was an American photographer best known for his documentary work during the Great Depression as part of the Farm Security Administration’s historic photography project.
  • C. Gustav Riebmann
    Gustav Riebmann is a fictional character from the American prime-time soap opera "Falcon Crest," known for being a powerful and manipulative antagonist.
  • D. Georg Friedrich Eckart
    Georg Friedrich Eckart was a craftsman or goldsmith historically associated with the creation of the Imperial Crown of Russia.
  • E. Eberhard Diepgen
    Eberhard Diepgen is a German politician of the Christian Democratic Union who served for many years as mayor of Berlin, including during the city’s transition from division to reunification.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dff85674819099bf40c9f4fede15 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2527570819092314ee0a678e53c completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:06 p.m.