Triple

T7703393
Position Surface form Disambiguated ID Type / Status
Subject Swift E174553 entity
Predicate hasNotableBearer P458 FINISHED
Object David Swift E670598 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: David Swift | Statement: [Swift, hasNotableBearer, David Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Swift
Context triple: [Swift, hasNotableBearer, David Swift]
  • A. David Swift chosen
    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. 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."
  • C. 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.
  • D. 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."
  • E. Allan Swift
    Allan Swift was an American voice actor and radio personality known for his work in animated television specials and commercials.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7028bcb2c8190baa4e4b14abe2cc5 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be2583508190bda9a88e149fe264 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:03 p.m.