Triple

T1009976
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter and the Deathly Hallows – Part 2 E21798 entity
Predicate castMember P1668 FINISHED
Object Evanna Lynch E122219 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: Evanna Lynch | Statement: [Harry Potter and the Deathly Hallows – Part 2, castMember, Evanna Lynch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evanna Lynch
Context triple: [Harry Potter and the Deathly Hallows – Part 2, castMember, Evanna Lynch]
  • A. Evanna Lynch chosen
    Evanna Lynch is an Irish actress best known for playing Luna Lovegood in the Harry Potter film series.
  • B. Emma Watson
    Emma Watson is a British actress and activist best known for playing Hermione Granger in the Harry Potter film series and for her advocacy on gender equality.
  • C. Bonnie Wright
    Bonnie Wright is an English actress and filmmaker best known for playing Ginny Weasley in the Harry Potter film series.
  • D. Katherine Hoult
    Katherine Hoult is known as the spouse of Richard Mather.
  • E. Tamsin Egerton
    Tamsin Egerton is an English actress and model known for roles in films such as "St Trinian's," "Keeping Mum," and "The Look of Love."
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a3cb608190a2de34a09cd55146 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e9d99f08190ad72bdb3ab555fec completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:41 p.m.