Triple

T1364492
Position Surface form Disambiguated ID Type / Status
Subject Mary Storer Potter E29171 entity
Predicate familyName P18 FINISHED
Object Potter E137400 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: Potter | Statement: [Mary Storer Potter, familyName, Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potter
Context triple: [Mary Storer Potter, familyName, Potter]
  • A. Potter chosen
    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.
  • B. Potter
    Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
  • C. 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.
  • D. Clarkson Potter
    Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
  • E. Harry Potter and the Philosopher's Stone
    Harry Potter and the Philosopher's Stone is the first film in the Harry Potter series, introducing the young wizard Harry and his early adventures at Hogwarts School of Witchcraft and Wizardry.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b725248190bdfdc0031ddc477f completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7604908190a3754a20bdcb6266 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.