Triple

T17217389
Position Surface form Disambiguated ID Type / Status
Subject Nick E417887 entity
Predicate appearsIn P795 FINISHED
Object Harry Potter series E131366 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 series | Statement: [Nick, appearsIn, Harry Potter series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Potter series
Context triple: [Nick, appearsIn, Harry Potter series]
  • A. Harry Potter novel series chosen
    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.
  • B. Harry Potter
    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.
  • C. Harry Potter film series
    The Harry Potter film series is a blockbuster fantasy franchise of eight movies adapting J.K. Rowling’s novels about a young wizard and his battle against the dark lord Voldemort.
  • D. Potter
    Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
  • E. Potter
    Potter is a small town located in Yates County in the Finger Lakes region of New York State.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dda6e6c81908dd96f653cd2cba0 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c85b148190825bc99b28363c89 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:38 a.m.