Triple

T708192
Position Surface form Disambiguated ID Type / Status
Subject Donald Trump E14147 entity
Predicate birthName P65 FINISHED
Object Donald John 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 John Trump | Statement: [Donald Trump, birthName, Donald John Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald John Trump
Context triple: [Donald Trump, birthName, Donald John 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. Spencer Frederick Trump
    Spencer Frederick Trump is a member of the Trump family and a grandson of former U.S. President Donald Trump.
  • D. John G. Trump
    John G. Trump was an American electrical engineer, inventor, and physicist known for his pioneering work in high-voltage engineering and radar technology.
  • E. 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.
  • 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_69a6891b6d908190823a9a09cef5c7da completed March 3, 2026, 7:09 a.m.
Created at: March 1, 2026, 7:36 p.m.