Triple

T1855904
Position Surface form Disambiguated ID Type / Status
Subject Jochen Nickel E41700 entity
Predicate name P16 FINISHED
Object Jochen Nickel E41700 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: Jochen Nickel | Statement: [Jochen Nickel, name, Jochen Nickel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jochen Nickel
Context triple: [Jochen Nickel, name, Jochen Nickel]
  • A. Jochen Nickel chosen
    Jochen Nickel is a German actor known for his character roles in films and television, including appearances in notable World War II dramas.
  • B. Johannes Popitz
    Johannes Popitz was a German lawyer, conservative politician, and high-ranking finance official who served as Prussian finance minister and later became involved in resistance circles against the Nazi regime.
  • C. Lars Schmidt
    Lars Schmidt was a Swedish theatrical producer and director known for bringing American and British plays to Scandinavian and European stages and for his marriage to actress Ingrid Bergman.
  • D. Andreas Hügerich
    Andreas Hügerich is a German local politician who serves as the mayor of the town of Lichtenfels in Bavaria.
  • E. Philipp Demandt
    Philipp Demandt is a German art historian and museum director known for leading major cultural institutions such as the Städel Museum and the Liebieghaus Skulpturensammlung in Frankfurt.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb07e5ed48190a7b8858e2b355109 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8367a288190ac4dcd2f06505982 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:33 p.m.