Triple

T13508249
Position Surface form Disambiguated ID Type / Status
Subject Den of Thieves E321069 entity
Predicate director P255 FINISHED
Object Christian Gudegast 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: Christian Gudegast | Statement: [Den of Thieves, director, Christian Gudegast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Gudegast
Context triple: [Den of Thieves, director, Christian Gudegast]
  • A. Christian Gudegast chosen
    Christian Gudegast is an American filmmaker and screenwriter known for writing action and crime thrillers and for making his feature directorial debut with the heist film "Den of Thieves."
  • B. Ulrich Matthes
    Ulrich Matthes is a German actor known for his acclaimed performances in film, television, and theater, often portraying complex historical and political figures.
  • C. Hans-Peter Kriegel
    Hans-Peter Kriegel is a German computer scientist renowned for his influential contributions to data mining and database systems, particularly in clustering and similarity search.
  • D. Martin Benrath
    Martin Benrath was a German actor known for his extensive work in film, television, and theater from the mid-20th century onward.
  • E. Rainer G. Rümmler
    Rainer G. Rümmler was a German architect best known for designing numerous distinctive Berlin U-Bahn stations in the latter half of the 20th century.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
Created at: April 9, 2026, 9:43 p.m.