Triple

T19268407
Position Surface form Disambiguated ID Type / Status
Subject Jack Seward E481850 entity
Predicate suitorOf P26260 FINISHED
Object Lucy Westenra 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: Lucy Westenra | Statement: [Jack Seward, suitorOf, Lucy Westenra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy Westenra
Context triple: [Jack Seward, suitorOf, Lucy Westenra]
  • A. Lucy Westenra chosen
    Lucy Westenra is a young Victorian woman in Bram Stoker's novel "Dracula" whose tragic transformation into a vampire makes her one of the story’s most memorable and pitiable figures.
  • B. Mina Harker
    Mina Harker is a central heroine in Bram Stoker’s novel "Dracula," known for her intelligence, moral strength, and crucial role in coordinating the fight against the vampire Count Dracula.
  • C. Evelyn Stoker
    Evelyn Stoker is a character in the psychological thriller film "Stoker," serving as a member of India Stoker's troubled family.
  • D. Martha Dracula
    Martha Dracula is the late wife of Dracula and the mother of Mavis in the animated "Hotel Transylvania" film series.
  • E. Elizabeth Hunter Seward
    Elizabeth Hunter Seward was the mother of English Romantic poet Anna Seward and a member of the 18th-century English literary and clerical milieu.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb68d0c819083ba0ce680dd7d99 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.