Triple

T19271821
Position Surface form Disambiguated ID Type / Status
Subject Hedwig E481947 entity
Predicate hasFandom P897 FINISHED
Object Harry Potter fandom 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: Harry Potter fandom | Statement: [Hedwig, hasFandom, Harry Potter fandom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Potter fandom
Context triple: [Hedwig, hasFandom, Harry Potter fandom]
  • A. Harry Potter fandom chosen
    The Harry Potter fandom is a vast, global community of readers and viewers devoted to J.K. Rowling’s Wizarding World, known for its fan fiction, conventions, online communities, and enduring enthusiasm for the book and film series.
  • 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. Potter
    Potter is a small town located in Yates County in the Finger Lakes region of New York State.
  • E. Fandom
    Fandom is a fan-focused entertainment and gaming platform best known for hosting community-created wikis and content about movies, TV, games, and pop culture.
  • 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_69e5fbb9bd5881909d86c5def7770fdd completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.