Triple

T22428346
Position Surface form Disambiguated ID Type / Status
Subject My Pretty Pony E554430 entity
Predicate featuresActor P15562 FINISHED
Object Noah Jupe NE NERFINISHED

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: Noah Jupe | Statement: [My Pretty Pony, featuresActor, Noah Jupe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah Jupe
Context triple: [My Pretty Pony, featuresActor, Noah Jupe]
  • A. Noah Jupe chosen
    Noah Jupe is a British actor known for his acclaimed performances as a child and teen in films such as "A Quiet Place," "Honey Boy," and "Ford v Ferrari."
  • B. Isaac Hempstead Wright
    Isaac Hempstead Wright is an English actor best known for portraying Bran Stark in the HBO fantasy television series Game of Thrones.
  • C. Fionn Whitehead
    Fionn Whitehead is a British actor best known for his breakout leading role in Christopher Nolan’s World War II film "Dunkirk."
  • D. Oliver Jackson-Cohen
    Oliver Jackson-Cohen is a British actor known for his roles in horror and thriller projects such as The Haunting of Hill House and The Invisible Man.
  • E. Rupert Friend
    Rupert Friend is an English actor known for roles in films like "Pride & Prejudice" and the TV series "Homeland."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2f054c819093fbe173c8a4a544 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.