Triple

T10366501
Position Surface form Disambiguated ID Type / Status
Subject Yesterday (2019 film) E244262 entity
Predicate stars P1956 FINISHED
Object Joel Fry E213943 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: Joel Fry | Statement: [Yesterday (2019 film), stars, Joel Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joel Fry
Context triple: [Yesterday (2019 film), stars, Joel Fry]
  • A. Joel Fry chosen
    Joel Fry is a British actor and musician known for his roles in film and television, including appearances in projects like "Game of Thrones," "Cruella," and various UK comedies.
  • B. Harley McDevitt
    Harley McDevitt was a microbiologist associated with the influential Phage Group, a collective that advanced molecular genetics through the study of bacteriophages.
  • C. Tim Laudner
    Tim Laudner is a former Major League Baseball catcher best known for his years with the Minnesota Twins, including their 1987 World Series championship team.
  • D. Matt Owens
    Matt Owens is a British musician best known as the bassist and a founding member of the indie folk band Noah and the Whale.
  • E. Joel Murray
    Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96fd6f081908f630a16106996d9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d90d76fd88819086c61c40216a8932 completed April 10, 2026, 2:47 p.m.
Created at: April 6, 2026, noon