Triple

T20460663
Position Surface form Disambiguated ID Type / Status
Subject Der Untergang E501913 entity
Predicate musicBy P1952 FINISHED
Object Stephan Zacharias 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: Stephan Zacharias | Statement: [Der Untergang, musicBy, Stephan Zacharias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephan Zacharias
Context triple: [Der Untergang, musicBy, Stephan Zacharias]
  • A. Stephan Zacharias chosen
    Stephan Zacharias is a German film composer known for his dramatic and historically themed scores, including his work on the World War II film "Downfall."
  • B. Matthias Zell
    Matthias Zell was a leading early Protestant reformer and preacher in Strasbourg who played a central role in introducing and spreading Reformation ideas in the city.
  • C. Stephan Ackermann
    Stephan Ackermann is a German Roman Catholic bishop best known for serving as the Bishop of Trier.
  • D. Matthias Reichhold
    Matthias Reichhold is an Austrian politician best known for his leadership role in the right-wing Freedom Party of Austria and his brief tenure as Austria’s Minister of Transport, Innovation and Technology.
  • E. Christoph Sanders
    Christoph Sanders is an American actor best known for his roles on the television series "Ghost Whisperer" and the sitcom "Last Man Standing."
  • 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_69e696a549a48190a1bcd7a6b0f71a11 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.