Triple

T13873055
Position Surface form Disambiguated ID Type / Status
Subject Beverly Hills Cop II E333502 entity
Predicate starring P1507 FINISHED
Object Jürgen Prochnow 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: Jürgen Prochnow | Statement: [Beverly Hills Cop II, starring, Jürgen Prochnow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jürgen Prochnow
Context triple: [Beverly Hills Cop II, starring, Jürgen Prochnow]
  • A. Jürgen Prochnow chosen
    Jürgen Prochnow is a German actor best known internationally for his intense performances in films such as "Das Boot" and numerous Hollywood productions.
  • B. Jürgen Büscher
    Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
  • C. Jürgen Vogel
    Jürgen Vogel is a German actor and producer known for his intense character roles in films such as "The Wave" and "The Free Will."
  • D. Volker Jung
    Volker Jung is a German Protestant theologian and church leader known for serving as president of the Protestant Church in Hesse and Nassau and for his engagement with contemporary social and ethical issues.
  • E. Ingo Schwichtenberg
    Ingo Schwichtenberg was a German drummer best known for his influential work with the pioneering power metal band Helloween during their classic 1980s era.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0be4031c8190bef5865ec23b18a0 completed April 14, 2026, 9:41 a.m.
Created at: April 9, 2026, 10:14 p.m.