Triple

T18450103
Position Surface form Disambiguated ID Type / Status
Subject Le Rapport de Brodeck E450756 entity
Predicate EnglishTitle P6688 FINISHED
Object Brodeck 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: Brodeck | Statement: [Le Rapport de Brodeck, EnglishTitle, Brodeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brodeck
Context triple: [Le Rapport de Brodeck, EnglishTitle, Brodeck]
  • A. Brodeck chosen
    Brodeck is the protagonist of Philippe Claudel’s novel *Le Rapport de Brodeck*, a traumatized survivor in a remote village who is tasked with writing an official report about a mysterious and violent event.
  • B. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • C. Urich
    Urich is a surname most notably associated with American actor Robert Urich, known for his roles in television series such as "Spenser: For Hire" and "Vega$."
  • D. Andro Steinborn
    Andro Steinborn is a film producer best known for his work on the psychological thriller "Funny Games U.S."
  • E. Felix Krull
    Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.