Triple

T11904254
Position Surface form Disambiguated ID Type / Status
Subject Herschel Walker E283232 entity
Predicate supportedBy P67 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: [Herschel Walker, supportedBy, Donald Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Trump
Context triple: [Herschel Walker, supportedBy, 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. Trumps
    "Trumps" is a 19th-century novel by American writer and reformer George William Curtis, known for its social commentary and depiction of New York society.
  • D. Van Trump
    Van Trump is a surname most notably associated with Philemon Beecher Van Trump, an American mountaineer and early climber of Mount Rainier.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418487f448190b6e24fb2c0409e3f completed May 1, 2026, 3:04 a.m.
Created at: April 8, 2026, 9:44 p.m.