Triple

T2214517
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Deathly Hallows – Part 1 E47993 entity
Predicate stars P1956 FINISHED
Object Bonnie Wright E126332 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: Bonnie Wright | Statement: [Harry Potter and the Deathly Hallows – Part 1, stars, Bonnie Wright]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Wright
Context triple: [Harry Potter and the Deathly Hallows – Part 1, stars, Bonnie Wright]
  • A. Bonnie Wright chosen
    Bonnie Wright is an English actress and filmmaker best known for playing Ginny Weasley in the Harry Potter film series.
  • B. Evanna Lynch
    Evanna Lynch is an Irish actress best known for playing Luna Lovegood in the Harry Potter film series.
  • C. Miranda Otto
    Miranda Otto is an Australian actress best known for playing Éowyn in Peter Jackson’s The Lord of the Rings film trilogy.
  • D. Joanna Blunt
    Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
  • E. Saskia Reeves
    Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbfef875c8190b642736b4cc11d4c completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6554f3308190a180cac3ad7e2ce4 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.