Triple

T22137225
Position Surface form Disambiguated ID Type / Status
Subject Jan Englert E547061 entity
Predicate name P16 FINISHED
Object Jan Englert 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: Jan Englert | Statement: [Jan Englert, name, Jan Englert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Englert
Context triple: [Jan Englert, name, Jan Englert]
  • A. Jan Englert chosen
    Jan Englert is a renowned Polish film and theatre actor and director, known for his extensive work in Polish cinema and on stage.
  • B. Reinhart Peschke
    Reinhart Peschke is a cinematographer known for his work on the satirical film "An Alan Smithee Film: Burn Hollywood Burn."
  • C. Eleonore Kohl
    Eleonore Kohl is an alternative name used for Hannelore Kohl, the late wife of former German Chancellor Helmut Kohl and a prominent public figure in Germany.
  • D. Elisabeth Röckel
    Elisabeth Röckel was a 19th-century German soprano closely associated with the Viennese musical scene and figures such as Beethoven and her husband, composer Johann Nepomuk Hummel.
  • E. Luise Oettinger
    Luise Oettinger was the wife of Nobel Prize–winning physicist and physical chemist Gerhard Herzberg.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bac764819099ba4896a161ef1c completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.