Triple

T21598049
Position Surface form Disambiguated ID Type / Status
Subject Hugh Mercer E532954 entity
Predicate name P16 FINISHED
Object Hugh Mercer 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: Hugh Mercer | Statement: [Hugh Mercer, name, Hugh Mercer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh Mercer
Context triple: [Hugh Mercer, name, Hugh Mercer]
  • A. Hugh Mercer chosen
    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.
  • B. George Clymer
    George Clymer was an American Founding Father who signed both the Declaration of Independence and the U.S. Constitution and later served as a statesman and politician.
  • C. 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.
  • D. Theodorick Randolph
    Theodorick Randolph was a member of the prominent Randolph family of Virginia, related to planter and politician Richard Randolph of Bizarre.
  • E. John Jeffries
    John Jeffries was an 18th-century American-born physician and Loyalist who later became a pioneering balloonist and early meteorologist.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae2fc908190b989f39e8cefffb2 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.