Triple

T19649839
Position Surface form Disambiguated ID Type / Status
Subject Dracula Has Risen from the Grave E471780 entity
Predicate basedOnWorkBy P2806 FINISHED
Object Bram Stoker 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: Bram Stoker | Statement: [Dracula Has Risen from the Grave, basedOnWorkBy, Bram Stoker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bram Stoker
Context triple: [Dracula Has Risen from the Grave, basedOnWorkBy, Bram Stoker]
  • A. Bram Stoker chosen
    Bram Stoker was an Irish author best known for his 1897 novel "Dracula," a foundational work of Gothic horror fiction.
  • B. Donald Stoker
    Donald Stoker is a military historian and author known for his works on strategy, war, and international relations.
  • C. Irving Noel Thornley Stoker
    Irving Noel Thornley Stoker was the son of Irish author Bram Stoker, best known for writing the classic Gothic novel "Dracula."
  • D. Robert B. Stoker
    Robert B. Stoker is an American political scientist and public policy scholar known for his work on urban politics, social welfare policy, and governance.
  • E. Thomas Philip Le Fanu
    Thomas Philip Le Fanu was an Irish clergyman and scholar best known as the father of Victorian Gothic writer Sheridan Le Fanu.
  • 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.