Triple

T5269159
Position Surface form Disambiguated ID Type / Status
Subject Cornelius Fudge E119212 entity
Predicate conflictWith P4897 FINISHED
Object Harry Potter E115634 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: Harry Potter | Statement: [Cornelius Fudge, conflictWith, Harry Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Potter
Context triple: [Cornelius Fudge, conflictWith, Harry Potter]
  • A. Harry Potter chosen
    Harry Potter is a young wizard who attends Hogwarts School of Witchcraft and Wizardry and becomes famous for surviving an attack by the dark wizard Lord Voldemort.
  • B. Potter
    Potter is the surname of Beatrix Potter, the renowned English writer, illustrator, and natural scientist best known for her children's books featuring animal characters such as Peter Rabbit.
  • C. Potter
    Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
  • D. de Potter
    de Potter is a Belgian noble family name historically associated with political and intellectual figures such as Louis de Potter.
  • E. Harry Potter novel series
    The Harry Potter novel series is J.K. Rowling’s globally popular seven-book fantasy saga chronicling the coming-of-age and battles of young wizard Harry Potter in the magical world.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7bfdc9bc81908307f44f32fe9338 completed March 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf9adecb988190a5f289259cdd2f98 completed March 22, 2026, 7:31 a.m.
Created at: March 20, 2026, 1:51 p.m.