Triple

T146893
Position Surface form Disambiguated ID Type / Status
Subject The Trump Organization E3348 entity
Predicate notableEmployee P304 FINISHED
Object Allen Weisselberg E54233 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: Allen Weisselberg | Statement: [The Trump Organization, notableEmployee, Allen Weisselberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allen Weisselberg
Context triple: [The Trump Organization, notableEmployee, Allen Weisselberg]
  • A. Allen Weisselberg chosen
    Allen Weisselberg is an American businessman and longtime chief financial officer of the Trump Organization who became widely known for his role in investigations into Donald Trump’s finances.
  • B. Daniel H. Weiss
    Daniel H. Weiss is an American art historian and academic leader who served as president and CEO of New York’s Metropolitan Museum of Art.
  • C. David B. Cornstein
    David B. Cornstein is an American businessman and Republican political appointee who served as the U.S. Ambassador to Hungary under President Donald Trump.
  • D. Steve Weissman
    Steve Weissman is an American political activist and writer best known for his leadership role in the 1964 Berkeley Free Speech Movement.
  • E. Henry Alsberg
    Henry Alsberg was an American journalist, editor, and theater producer best known for directing the New Deal–era Federal Writers’ Project, which employed thousands of writers during the Great Depression.
  • 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_69a252868de4819080e21c9938bfe8b6 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a257eba6188190a3cf99c91bf3038f completed Feb. 28, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69a4366436008190b883eb9f0bfdb329 completed March 1, 2026, 12:51 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.