Triple

T19649840
Position Surface form Disambiguated ID Type / Status
Subject Dracula Has Risen from the Grave E471780 entity
Predicate stars P1956 FINISHED
Object Christopher Lee 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: Christopher Lee | Statement: [Dracula Has Risen from the Grave, stars, Christopher Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Lee
Context triple: [Dracula Has Risen from the Grave, stars, Christopher Lee]
  • A. Christopher Lee chosen
    Christopher Lee was an English actor renowned for his deep voice and imposing presence, best known for iconic roles such as Count Dracula in Hammer Horror films and Saruman in "The Lord of the Rings" trilogy.
  • B. Peter Cushing
    Peter Cushing was an English actor best known for his roles in classic Hammer horror films and as Grand Moff Tarkin in Star Wars.
  • C. Ian Menzies
    Ian Menzies is a notable individual who shares the Menzies surname, recognized as a distinguished bearer of that family name.
  • D. Michael Ironside
    Michael Ironside is a Canadian actor known for his intense, often villainous roles in science fiction and action films such as "Total Recall," "Starship Troopers," and "Top Gun."
  • E. Guy Moore
    Guy Moore is a film editor known for his work on the James Bond movie "Tomorrow Never Dies."
  • 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.