Triple

T577929
Position Surface form Disambiguated ID Type / Status
Subject The Da Vinci Code E13796 entity
Predicate starring P1507 FINISHED
Object Jürgen Prochnow E122693 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 Prochnow | Statement: [The Da Vinci Code, starring, Jürgen Prochnow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jürgen Prochnow
Context triple: [The Da Vinci Code, 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. Ewald Loeser
    Ewald Loeser was a German lawyer and industrial executive who served in senior positions at the Krupp conglomerate and was later prosecuted for his role in Nazi-era crimes during the post–World War II Krupp Trial.
  • D. Klaus Badelt
    Klaus Badelt is a German film composer best known for his work on major Hollywood scores such as "Pirates of the Caribbean: The Curse of the Black Pearl."
  • E. Lutz Zülicke
    Lutz Zülicke is a German physicist and academic best known for supervising Angela Merkel’s doctoral research in quantum chemistry.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b69fed88190b5558d4ebd5047a1 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ae713c8190aafab334dc1ae1ac completed March 8, 2026, 4:15 p.m.
Created at: March 1, 2026, 7:33 p.m.