Triple

T12685937
Position Surface form Disambiguated ID Type / Status
Subject The Debt E303064 entity
Predicate antagonist P4675 FINISHED
Object Dieter Vogel E885083 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: Dieter Vogel | Statement: [The Debt, antagonist, Dieter Vogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dieter Vogel
Context triple: [The Debt, antagonist, Dieter Vogel]
  • A. Dieter Vogel chosen
    Dieter Vogel is the main Nazi war criminal antagonist in the 2010 thriller film "The Debt," portrayed as a former concentration camp doctor being hunted by Mossad agents.
  • B. Heinz von Randow
    Heinz von Randow was a German Wehrmacht general during World War II who is chiefly remembered for his leadership of armored units, including the 21st Panzer Division.
  • C. Wolfgang Körner
    Wolfgang Körner is a German writer known for his contributions to contemporary German literature.
  • D. Manfred Guhring
    Manfred Guhring is a German firearms designer best known for creating the iconic Heckler & Koch MP5 submachine gun.
  • E. Claus Wellenreuther
    Claus Wellenreuther is a German entrepreneur best known as one of the co-founders of the enterprise software company SAP.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.