Triple

T4150444
Position Surface form Disambiguated ID Type / Status
Subject The Devil All the Time E89889 entity
Predicate castMember P1668 FINISHED
Object Harry Melling E385516 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: Harry Melling | Statement: [The Devil All the Time, castMember, Harry Melling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Melling
Context triple: [The Devil All the Time, castMember, Harry Melling]
  • A. Harry Melling chosen
    Harry Melling is an English actor known for his role as Dudley Dursley in the Harry Potter film series and for his later work in film and television, including acclaimed character performances in period dramas and thrillers.
  • B. Rupert Grint
    Rupert Grint is an English actor best known for playing Ron Weasley in the Harry Potter film series.
  • C. Daniel Radcliffe
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • D. Rupert Friend
    Rupert Friend is an English actor known for roles in films like "Pride & Prejudice" and the TV series "Homeland."
  • E. Nicholas Hoult
    Nicholas Hoult is an English actor known for his versatile roles in films such as "About a Boy," the "X-Men" series, and "Mad Max: Fury Road," as well as the TV series "Skins" and "The Great."
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0274f440819087dd58a9ce45cce5 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f34c748819093d03ccddd3e1f75 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:43 p.m.