Triple

T12398713
Position Surface form Disambiguated ID Type / Status
Subject Jefferson, Georgia E296190 entity
Predicate namedAfter P63 FINISHED
Object Thomas Jefferson E1804 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: Thomas Jefferson | Statement: [Jefferson, Georgia, namedAfter, Thomas Jefferson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Jefferson
Context triple: [Jefferson, Georgia, namedAfter, Thomas Jefferson]
  • A. Thomas Jefferson chosen
    Thomas Jefferson was the third president of the United States, principal author of the Declaration of Independence, and a leading figure of early American political and intellectual life.
  • B. M. Jefferson
    M. Jefferson is an author known for contributing written works to the publication "Wetter."
  • C. Jefferson
    Jefferson is a small city in northeastern Georgia that serves as the county seat of Jackson County and lies within the state's historic gold-mining region.
  • D. Jefferson
    Jefferson is a prominent American surname most famously associated with Thomas Jefferson, the third president of the United States and principal author of the Declaration of Independence.
  • E. Jefferson
    Jefferson is the middle name of British Conservative politician and former Foreign Secretary William Hague.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd448f08190af425a569d7ed158 completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63efc0c7081909fe7d1818a081684 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:54 p.m.