Triple

T8905123
Position Surface form Disambiguated ID Type / Status
Subject A Child’s First Book of Trump E212035 entity
Predicate mainSubject P3 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: [A Child’s First Book of Trump, mainSubject, Donald Trump]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Trump
Context triple: [A Child’s First Book of Trump, mainSubject, 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c3d83081909f181bfd601eaf99 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba2cb5e48190813e9c08198149b0 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.