Triple

T23103867
Position Surface form Disambiguated ID Type / Status
Subject Joshua Fry E576104 entity
Predicate name P16 FINISHED
Object Joshua Fry 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: Joshua Fry | Statement: [Joshua Fry, name, Joshua Fry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Fry
Context triple: [Joshua Fry, name, Joshua Fry]
  • A. Joshua Fry chosen
    Joshua Fry was an 18th-century American surveyor, cartographer, and colonial military officer best known for co-creating the influential Fry-Jefferson map of Virginia.
  • B. Benjamin Logan
    Benjamin Logan was an American frontiersman and military leader in the late 18th century, known for his role in the early settlement and defense of Kentucky and the Ohio frontier.
  • C. Francis Reynolds
    Francis Reynolds is the full given name of the fictional character Frank Reynolds from the television series "It's Always Sunny in Philadelphia."
  • D. Francis Reynolds
    Francis Reynolds was a British naval officer best known for commanding Royal Navy forces during the American Revolutionary War, including the engagement at Fort Mifflin.
  • E. Daniel Brodhead
    Daniel Brodhead was an American military officer and politician who served as a Continental Army colonel and later as a U.S. Indian agent during and after the American Revolutionary War.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18deb702c819099f2e2141706f00e completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.