Triple

T10738615
Position Surface form Disambiguated ID Type / Status
Subject Männerpension E253260 entity
Predicate hasCastMember P2308 FINISHED
Object Jürgen Vogel E631745 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: Jürgen Vogel | Statement: [Männerpension, hasCastMember, Jürgen Vogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jürgen Vogel
Context triple: [Männerpension, hasCastMember, Jürgen Vogel]
  • A. Jürgen Vogel chosen
    Jürgen Vogel is a German actor and producer known for his intense character roles in films such as "The Wave" and "The Free Will."
  • B. Volker Braun
    Volker Braun is a German writer and poet known for his politically engaged works that critically examine life in East Germany and the legacy of socialism.
  • C. Jürgen Schmidt
    Jürgen Schmidt is a personal name shared by multiple individuals, including professionals and public figures in German-speaking countries.
  • D. Jürgen Büscher
    Jürgen Büscher is a screenwriter best known for co-writing the 1993 German war film "Stalingrad."
  • E. Karl-Heinz Schreiber
    Karl-Heinz Schreiber is a German-Canadian lobbyist and businessman notorious for his central role in major international arms and political bribery scandals, including those involving Lockheed.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69f684c471b88190a4c79d907152b492 completed May 2, 2026, 11:12 p.m.
Created at: April 8, 2026, 9:14 p.m.