Triple

T19649842
Position Surface form Disambiguated ID Type / Status
Subject Dracula Has Risen from the Grave E471780 entity
Predicate castMember P1668 FINISHED
Object Rupert Davies 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: Rupert Davies | Statement: [Dracula Has Risen from the Grave, castMember, Rupert Davies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Davies
Context triple: [Dracula Has Risen from the Grave, castMember, Rupert Davies]
  • A. Rupert Davies chosen
    Rupert Davies was a British actor best known for his portrayal of Inspector Maigret in the 1960s television series "Maigret."
  • B. David Hayman
    David Hayman is a Scottish actor and director known for his intense character roles in film and television, as well as his work in socially conscious drama.
  • C. Joss Ackland
    Joss Ackland is a distinguished English actor known for his extensive film, television, and stage career, often portraying authoritative or villainous characters.
  • D. Donald Sinden
    Donald Sinden was a distinguished English actor known for his work in film, theatre, and television, particularly from the mid-20th century onward.
  • E. Bernard Miles
    Bernard Miles was an English character actor, writer, and director known for his work in British film and theatre, and for founding the Mermaid Theatre in London.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641278e9881909bdf8d440ef6eba4 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.