Triple

T11203607
Position Surface form Disambiguated ID Type / Status
Subject In a Glass Darkly E265101 entity
Predicate containsWork P2011 FINISHED
Object Carmilla E265099 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: Carmilla | Statement: [In a Glass Darkly, containsWork, Carmilla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmilla
Context triple: [In a Glass Darkly, containsWork, Carmilla]
  • A. Carmilla chosen
    Carmilla is an 1872 Gothic novella by Sheridan Le Fanu that features one of literature’s earliest and most influential lesbian vampire characters.
  • B. The Vampire
    "The Vampire" is a film featuring actress Lydia Reed, known for her work in mid-20th-century American cinema.
  • C. Le Vampire
    Le Vampire is a work of art or literature associated with the 19th-century French poet Charles Baudelaire, for which his Haitian-born muse Jeanne Duval served as a key inspiration.
  • D. The Brides of Dracula
    The Brides of Dracula is a 1960 British gothic horror film from Hammer Film Productions, serving as an early sequel in their Dracula series and noted for its atmospheric style and absence of Christopher Lee’s Count Dracula.
  • 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 (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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5255f7730819087dc4b10565e321d completed April 19, 2026, 6:56 p.m.
Created at: April 8, 2026, 9:29 p.m.