Triple

T4196010
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Duvall E89154 entity
Predicate nominatedBy P257 FINISHED
Object James Madison E9994 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: James Madison | Statement: [Gabriel Duvall, nominatedBy, James Madison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Madison
Context triple: [Gabriel Duvall, nominatedBy, James Madison]
  • A. James Madison chosen
    James Madison was the fourth president of the United States and a key architect of the U.S. Constitution and Bill of Rights.
  • B. James Monroe
    James Monroe was the fifth president of the United States, best known for the Monroe Doctrine and for overseeing an era of national expansion and relative political unity in the early 19th century.
  • C. Jefferson
    Jefferson is the middle name of William Jefferson "Bill" Clinton, the 42nd president of the United States.
  • 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 small city in northeastern Georgia that serves as the county seat of Jackson County and lies within the state's historic gold-mining region.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035e87148190a0f0bf48b813ffaa completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589de64fc81909662197fdbe45446 completed March 14, 2026, 4:16 p.m.
Created at: March 9, 2026, 3:46 p.m.