Triple

T6425946
Position Surface form Disambiguated ID Type / Status
Subject Andrea Palladio E128057 entity
Predicate influenced P9 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: [Andrea Palladio, influenced, Thomas Jefferson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Jefferson
Context triple: [Andrea Palladio, influenced, 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. Jefferson
    Jefferson is the middle name of William Jefferson "Bill" Clinton, the 42nd president of the United States.
  • 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 the fictional Mississippi town that serves as the central setting in many of William Faulkner’s Yoknapatawpha County stories and novels.
  • E. Jefferson
    Jefferson is a city in Iowa, United States, known as the birthplace of pioneering American pollster George Gallup.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0691f944c81909d4e5d8ef9e494b6 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65385f80081908e989b17529808c5 completed March 27, 2026, 9:53 a.m.
Created at: March 22, 2026, 4:43 p.m.