Triple

T14217426
Position Surface form Disambiguated ID Type / Status
Subject Jeremy Swift E352392 entity
Predicate name P16 FINISHED
Object Jeremy Swift E352392 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: Jeremy Swift | Statement: [Jeremy Swift, name, Jeremy Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Swift
Context triple: [Jeremy Swift, name, Jeremy Swift]
  • A. Jeremy Swift chosen
    Jeremy Swift is an English actor known for his character roles in film and television, including appearances in projects like "Downton Abbey" and "Ted Lasso."
  • B. David Swift
    David Swift was an American screenwriter, director, and producer best known for creating and writing classic family films and television shows, including the original 1961 version of "The Parent Trap."
  • C. Mark Swift
    Mark Swift is a film producer best known for his work on animated and genre movies, including "Captain Underpants: The First Epic Movie."
  • D. Frank Swift
    Frank Swift was an English professional football goalkeeper best known for his long and successful career with Manchester City and for representing England before his death in the 1958 Munich air disaster.
  • E. Clive Swift
    Clive Swift was a British actor best known for his television role as Richard Bucket in the sitcom "Keeping Up Appearances" and for numerous stage and screen performances.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6210213481908fac6893e8a9f143 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28101e1881909f7a6c0cc762204c completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.