Triple

T12180205
Position Surface form Disambiguated ID Type / Status
Subject Prick Up Your Ears E290196 entity
Predicate castMember P1668 FINISHED
Object Julie Walters E146605 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: Julie Walters | Statement: [Prick Up Your Ears, castMember, Julie Walters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Walters
Context triple: [Prick Up Your Ears, castMember, Julie Walters]
  • A. Julie Walters chosen
    Julie Walters is an acclaimed English actress known for her versatile performances in film, television, and theatre, including her role as Molly Weasley in the Harry Potter series.
  • B. Maggie Smith
    Maggie Smith is a renowned English actress celebrated for her versatile performances across film, television, and stage, including iconic roles in "Downton Abbey" and the "Harry Potter" series.
  • C. Louise Plowright
    Louise Plowright was a British actress known for her work in television and musical theatre, including notable roles in West End productions.
  • D. Judi Dench
    Judi Dench is an acclaimed English actress renowned for her work in theatre, film, and television, including her Oscar-winning performance in "Shakespeare in Love."
  • E. Betsy Aidem
    Betsy Aidem is an American actress known for her work in film, television, and theater.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915fc451c819086a2a97967b82908 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e505fc481909cdd2dabcef8d948 completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:50 p.m.