Triple

T708201
Position Surface form Disambiguated ID Type / Status
Subject Donald Trump E14147 entity
Predicate spouse P13 FINISHED
Object Melania Trump E5266 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: Melania Trump | Statement: [Donald Trump, spouse, Melania Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melania Trump
Context triple: [Donald Trump, spouse, Melania Trump]
  • A. Melania Trump chosen
    Melania Trump is a Slovenian-American former fashion model who served as First Lady of the United States from 2017 to 2021.
  • B. Jill Biden
    Jill Biden is an American educator and the First Lady of the United States, known for her long career in teaching and her advocacy for military families, community colleges, and cancer research.
  • C. Vanessa Trump
    Vanessa Trump is an American former model and ex-wife of Donald Trump Jr., known for her connection to the Trump family.
  • D. Mary Anne MacLeod Trump
    Mary Anne MacLeod Trump was a Scottish-born American homemaker and philanthropist best known as the mother of Donald Trump and the wife of real estate developer Fred Trump.
  • E. Carolina Dorothy Trump
    Carolina Dorothy Trump is a young member of the Trump family and the daughter of American businessman and political figure Eric Trump.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a548e6dc819090d31ce33493a396 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c005750881909187edfa8e8fa02c completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:36 p.m.