Triple

T21036910
Position Surface form Disambiguated ID Type / Status
Subject Dennis Waterman E518213 entity
Predicate notableWork P4 FINISHED
Object Scars of Dracula 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: Scars of Dracula | Statement: [Dennis Waterman, notableWork, Scars of Dracula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scars of Dracula
Context triple: [Dennis Waterman, notableWork, Scars of Dracula]
  • A. The Scars of Dracula chosen
    The Scars of Dracula is a 1970 British Hammer horror film in the long-running Dracula series, starring Christopher Lee as Count Dracula.
  • B. Son of Dracula
    Son of Dracula is a 1943 Universal Pictures horror film that continues the studio’s classic vampire cycle, featuring Lon Chaney Jr. as Count Alucard in a Southern Gothic setting.
  • C. Blood for Dracula
    Blood for Dracula is a 1974 cult horror film directed by Paul Morrissey that offers a darkly satirical, art-house take on the Dracula myth.
  • D. The Return of Dracula
    The Return of Dracula is a 1958 American horror film in which Francis Lederer portrays a modern-day incarnation of Count Dracula terrorizing a small California town.
  • E. Taste the Blood of Dracula
    Taste the Blood of Dracula is a 1970 British gothic horror film in the long-running Dracula series, starring Christopher Lee as the iconic vampire.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc865ca88190abf336ee9012fa77 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:02 p.m.