Triple

T5359416
Position Surface form Disambiguated ID Type / Status
Subject Sir Samuel Garth E102982 entity
Predicate name P16 FINISHED
Object Samuel Garth E102982 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: Samuel Garth | Statement: [Sir Samuel Garth, name, Samuel Garth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Garth
Context triple: [Sir Samuel Garth, name, Samuel Garth]
  • A. Sir Samuel Garth chosen
    Sir Samuel Garth was an English physician and poet of the late 17th and early 18th centuries, best known for his satirical poem "The Dispensary" and his advocacy for medical reform.
  • B. 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.
  • C. Thomas Shepherd
    Thomas Shepherd is an author known for writing the story for the film "Dolittle."
  • D. Tom Sayers
    Tom Sayers was a celebrated 19th-century English bare-knuckle prizefighter regarded as one of the greatest boxers of his era.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd86330e4c8190b5452226886287b3 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e955a8819094a0b12e42e2d6a6 completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:02 p.m.