Triple

T18912169
Position Surface form Disambiguated ID Type / Status
Subject Secretary (2002 film) E462634 entity
Predicate castMember P1668 FINISHED
Object Patrick Bauchau 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: Patrick Bauchau | Statement: [Secretary (2002 film), castMember, Patrick Bauchau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Bauchau
Context triple: [Secretary (2002 film), castMember, Patrick Bauchau]
  • A. Patrick Bauchau chosen
    Patrick Bauchau is a Belgian actor known for his character roles in international films and television series, including the thriller "Panic Room."
  • B. Jean-Claude Gaudin
    Jean-Claude Gaudin is a French conservative politician best known for serving as the long-time mayor of Marseille and as a prominent figure on the French right.
  • C. Robert Fournez
    Robert Fournez was a French architect best known for designing the Grande Mosquée de Paris, a major Islamic religious and cultural landmark in the French capital.
  • D. Thomas Origer
    Thomas Origer is an American businessman best known for owning the short-lived World Football League team the Chicago Fire in the 1970s.
  • E. Eric Feron
    Eric Feron is an aerospace engineer and control theorist known for his work on optimization and control applications in aerospace systems.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c6238e288190b30311b5d80beafb completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.