Triple

T735458
Position Surface form Disambiguated ID Type / Status
Subject United States–Cuba relations E14919 entity
Predicate USPresidentInvolved P19554 FINISHED
Object Donald Trump E765 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: Donald Trump | Statement: [United States–Cuba relations, USPresidentInvolved, Donald Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Trump
Context triple: [United States–Cuba relations, USPresidentInvolved, Donald Trump]
  • A. Donald Trump chosen
    Donald Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.
  • B. Trump
    Trump is a prominent American surname most widely associated with businessman and former U.S. President Donald Trump and his family.
  • C. Fred Trump
    Fred Trump was an American real estate developer who built a large portfolio of middle-income housing in New York City and was a prominent figure in the city's mid-20th-century real estate industry.
  • D. Spencer Frederick Trump
    Spencer Frederick Trump is a member of the Trump family and a grandson of former U.S. President Donald Trump.
  • E. Clinton
    Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9ba3888190889a1ad554f73c5e completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a8bcc8819091c785ad953ddc54 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.