Triple

T1694302
Position Surface form Disambiguated ID Type / Status
Subject Effie Gray E36620 entity
Predicate starredActor P5563 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: [Effie Gray, starredActor, Julie Walters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Walters
Context triple: [Effie Gray, starredActor, 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. 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."
  • D. Cheryl Hines
    Cheryl Hines is an American actress and director best known for her role as Larry David’s wife, Cheryl, on the HBO series "Curb Your Enthusiasm."
  • E. Joan Plowright
    Joan Plowright is an acclaimed English actress of stage and screen, renowned for her distinguished theatre career and versatile character roles in film and television.
  • 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b3b8908190afc3f9e4a384684f completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9974b9c819081e9513ae2a0883b completed March 8, 2026, 7:10 p.m.
Created at: March 4, 2026, 7:29 p.m.