Triple

T20684283
Position Surface form Disambiguated ID Type / Status
Subject William Rush E508373 entity
Predicate name P16 FINISHED
Object William Rush 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: William Rush | Statement: [William Rush, name, William Rush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Rush
Context triple: [William Rush, name, William Rush]
  • A. William Rush chosen
    William Rush was an early American sculptor renowned for his pioneering wood carvings and public monuments in Philadelphia.
  • B. William Duane
    William Duane was an influential early American journalist and editor of the Philadelphia Aurora, known for his staunch support of Jeffersonian Republican politics.
  • C. James Rush
    James Rush is the child of Australian actress Jane Menelaus and is primarily known in relation to his parents’ public profiles.
  • D. Tench Coxe
    Tench Coxe was an American political economist and Federalist-era writer known for his influential essays on manufacturing, commerce, and the early U.S. economy.
  • E. Hugh Mercer
    Hugh Mercer was a Scottish-born American physician and brigadier general in the Continental Army who became a Revolutionary War hero after being mortally wounded at the Battle of Princeton.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6beaae5608190ac8cc64aa4717d53 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:45 a.m.