Triple

T13796040
Position Surface form Disambiguated ID Type / Status
Subject Jerome Flynn E331516 entity
Predicate name P16 FINISHED
Object Jerome Flynn E331516 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: Jerome Flynn | Statement: [Jerome Flynn, name, Jerome Flynn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Flynn
Context triple: [Jerome Flynn, name, Jerome Flynn]
  • A. Jerome Flynn chosen
    Jerome Flynn is a British actor best known for his roles in the television series "Game of Thrones" and "Ripper Street," as well as various film and stage productions.
  • B. Rupert Friend
    Rupert Friend is an English actor known for roles in films like "Pride & Prejudice" and the TV series "Homeland."
  • C. Beau Flynn
    Beau Flynn is an American film producer known for backing large-scale Hollywood action and adventure movies, frequently collaborating with Dwayne Johnson on projects such as "San Andreas," "Rampage," and "Skyscraper."
  • D. Jack O’Connell
    Jack O’Connell is an English actor known for his intense performances in film and television, including prominent roles in projects like "Skins," "’71," and "Unbroken."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025be1f08190aac525d72d7dc0c3 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08508688190b7e8c33e6b65e25d completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:11 p.m.