Triple

T21257182
Position Surface form Disambiguated ID Type / Status
Subject Tobias Snape E523898 entity
Predicate bloodStatus P22696 FINISHED
Object Muggle 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: Muggle | Statement: [Tobias Snape, bloodStatus, Muggle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muggle
Context triple: [Tobias Snape, bloodStatus, Muggle]
  • A. Muggle chosen
    A Muggle is a non-magical person in J.K. Rowling's Harry Potter universe, typically unaware of the existence of the wizarding world.
  • B. Muggle-born
    A Muggle-born is a witch or wizard in the Harry Potter universe who is born to non-magical parents but possesses magical abilities.
  • C. Muggle Britain
    Muggle Britain is the non-magical counterpart of Britain in the Harry Potter universe, inhabited by ordinary people unaware of the wizarding world.
  • D. Parselmouths
    Parselmouths are witches or wizards in the Harry Potter universe who possess the rare magical ability to communicate with snakes using the serpent language Parseltongue.
  • E. 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.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e2f1d48190b566ab4d736fdbc4 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:58 p.m.