Triple

T464510
Position Surface form Disambiguated ID Type / Status
Subject Eric Trump E8415 entity
Predicate employer P7 FINISHED
Object Trump Organization E3348 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: Trump Organization | Statement: [Eric Trump, employer, Trump Organization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trump Organization
Context triple: [Eric Trump, employer, Trump Organization]
  • A. Trump Foundation
    The Trump Foundation was a private charitable organization founded and funded by Donald Trump and his businesses, later dissolved amid investigations into self-dealing and misuse of funds.
  • B. The Trump Organization chosen
    The Trump Organization is a privately held American conglomerate of real estate, hospitality, and branding businesses long controlled by Donald Trump and his family.
  • C. Trump Productions
    Trump Productions is a media and television production company associated with Donald Trump, best known for producing shows like "The Apprentice."
  • D. Trump family
    The Trump family is a prominent American business and political dynasty best known for its real estate empire and for producing Donald J. Trump, the 45th president of the United States.
  • E. Trump University
    Trump University was a for-profit education company offering real estate and business seminars that became widely known for lawsuits alleging fraud and deceptive practices.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd5b6b48190ae23968135cf6417 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45297615881908011d248f1c8fd76 completed March 1, 2026, 2:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.