Triple

T14443068
Position Surface form Disambiguated ID Type / Status
Subject The Count of Monte Cristo (1954 film) E358133 entity
Predicate screenwriter P2831 FINISHED
Object Robert Vernay E1107324 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: Robert Vernay | Statement: [The Count of Monte Cristo (1954 film), screenwriter, Robert Vernay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Vernay
Context triple: [The Count of Monte Cristo (1954 film), screenwriter, Robert Vernay]
  • A. Robert Vernay chosen
    Robert Vernay was a French film director best known for his mid-20th-century adaptations of classic literary works.
  • B. Robert DeGuerin
    Robert DeGuerin is a corrupt and ruthless antagonist in the 1996 action film "Eraser," serving as a key villain opposing Arnold Schwarzenegger's character.
  • C. J. E. Vedrenne
    J. E. Vedrenne was a British theatrical manager and producer known for his influential collaborations with playwright George Bernard Shaw in the early 20th century London stage.
  • D. Albert Berger
    Albert Berger is an American film producer known for acclaimed independent and studio films, including the Oscar-winning drama "Cold Mountain."
  • E. Paul Vaudrey
    Paul Vaudrey was an architect best known for designing the Pont au Change bridge in Paris.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de915d28ec81909e72124e9dd67bfb completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a4bb308190a39ba037debee16e completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 1:19 a.m.