Triple

T5579461
Position Surface form Disambiguated ID Type / Status
Subject Julie Walters E146605 entity
Predicate name P16 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: [Julie Walters, name, Julie Walters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Walters
Context triple: [Julie Walters, name, 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. Wendy Hiller
    Wendy Hiller was an acclaimed English stage and film actress known for her nuanced, often understated performances in classics such as "Pygmalion" and "Separate Tables."
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206bfea08190aa2c8df9f88013ac completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d85e478819087502c3927997363 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:37 p.m.