Triple

T18661462
Position Surface form Disambiguated ID Type / Status
Subject James Bernard E456206 entity
Predicate workedOn P3 FINISHED
Object Kiss of the Vampire 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: Kiss of the Vampire | Statement: [James Bernard, workedOn, Kiss of the Vampire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss of the Vampire
Context triple: [James Bernard, workedOn, Kiss of the Vampire]
  • A. The Kiss of the Vampire chosen
    The Kiss of the Vampire is a 1963 British gothic horror film from Hammer Films, known for its atmospheric take on vampirism and occult rituals.
  • B. Embrace of the Vampire
    Embrace of the Vampire is a 1995 erotic horror film best known for starring Alyssa Milano as a college student seduced by a centuries-old vampire.
  • C. Lust for a Vampire
    Lust for a Vampire is a 1971 British Hammer horror film about a resurrected female vampire preying on students at an all-girls finishing school.
  • D. The Mark of the Vampire
    The Mark of the Vampire is a 1935 horror film directed by Tod Browning, noted for its atmospheric gothic style and twist on traditional vampire lore.
  • E. Vampirina
    Vampirina is an animated Disney Junior television series that follows a young vampire girl adjusting to life in the human world after moving from Transylvania to Pennsylvania.
  • 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508a30248190abdb51e345168849 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.