Triple

T19268355
Position Surface form Disambiguated ID Type / Status
Subject Jack & Sarah E481849 entity
Predicate starring P1507 FINISHED
Object David Swift 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: David Swift | Statement: [Jack & Sarah, starring, David Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Swift
Context triple: [Jack & Sarah, starring, David Swift]
  • A. 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."
  • B. David Swift chosen
    David Swift was a British actor and writer best known for his role as the irascible newsreader Henry Davenport in the television sitcom "Drop the Dead Donkey."
  • C. Jeremy Swift
    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."
  • 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. 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."
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb68d0c819083ba0ce680dd7d99 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:29 p.m.