Triple

T5830402
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Deathly Hallows E129330 entity
Predicate mainCharacter P1183 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: [Harry Potter and the Deathly Hallows, mainCharacter, Harry Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Potter
Context triple: [Harry Potter and the Deathly Hallows, mainCharacter, 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. Potter
    Potter is a small town located in Yates County in the Finger Lakes region of New York State.
  • E. de Potter
    de Potter is a Belgian noble family name historically associated with political and intellectual figures such as Louis de Potter.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346905848190a8f541401da05604 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a16b9eac8190a3760557e2aebb45 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:54 p.m.