Triple

T7703399
Position Surface form Disambiguated ID Type / Status
Subject Swift E174553 entity
Predicate hasNotableBearer P458 FINISHED
Object Allan Swift E234185 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: Allan Swift | Statement: [Swift, hasNotableBearer, Allan Swift]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allan Swift
Context triple: [Swift, hasNotableBearer, Allan Swift]
  • A. Allan Swift chosen
    Allan Swift was an American voice actor and radio personality known for his work in animated television specials and commercials.
  • B. 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.
  • C. Henry Snodgrass
    Henry Snodgrass was an American Major League Baseball outfielder who played in the early 20th century, best remembered for his time with the New York Giants.
  • D. Lewis Swift
    Lewis Swift was a 19th-century American astronomer known for his discovery of numerous comets and deep-sky objects.
  • E. Charles Giblyn
    Charles Giblyn was an early 20th-century American film director and actor active during the silent film era.
  • 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_69c8c7bca3208190b214e3ebb8fe8c0b completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:03 p.m.