Triple

T20043204
Position Surface form Disambiguated ID Type / Status
Subject Nosferatu the Vampyre E497482 entity
Predicate stars P1956 FINISHED
Object Klaus Kinski 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: Klaus Kinski | Statement: [Nosferatu the Vampyre, stars, Klaus Kinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaus Kinski
Context triple: [Nosferatu the Vampyre, stars, Klaus Kinski]
  • A. Klaus Kinski chosen
    Klaus Kinski was a volatile and intense German actor best known for his collaborations with director Werner Herzog in films like "Aguirre, the Wrath of God" and "Fitzcarraldo."
  • B. Lars Keitel
    Lars Keitel is a German local politician who serves as the mayor of the town of Friedrichsdorf in Hesse.
  • C. Maximilian Schell
    Maximilian Schell was an Austrian-Swiss actor and director renowned for his intense, Oscar-winning performances in European and Hollywood films, particularly in courtroom dramas and war-themed movies.
  • D. Nikolai Kinski
    Nikolai Kinski is a French-American actor known for his work in European and independent films, and as the son of legendary German actor Klaus Kinski.
  • E. Bruno Ganz
    Bruno Ganz was a renowned Swiss actor acclaimed for his intense and nuanced performances in European cinema, particularly in films like "Wings of Desire" and "Downfall."
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662ed59bc8190a9ff25493e500ebb completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.