Triple

T785032
Position Surface form Disambiguated ID Type / Status
Subject Jeff Zients E16582 entity
Predicate name P16 FINISHED
Object Jeff Zients E16582 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: Jeff Zients | Statement: [Jeff Zients, name, Jeff Zients]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Zients
Context triple: [Jeff Zients, name, Jeff Zients]
  • A. Jeff Zients chosen
    Jeff Zients is an American businessman and political advisor who serves as the White House Chief of Staff under President Joe Biden.
  • B. David Malpass
    David Malpass is an American economist and former U.S. Treasury official who served as President of the World Bank Group from 2019 to 2023.
  • C. Mark Meadows
    Mark Meadows is an American politician and former U.S. Representative who served as a close ally of Donald Trump and played a key role in his administration and post-election efforts.
  • D. Jack Lew
    Jack Lew is an American public official and attorney who served as the 76th United States Secretary of the Treasury under President Barack Obama.
  • E. Mick Mulvaney
    Mick Mulvaney is an American politician and former U.S. Representative who served in the Trump administration in senior roles, including as acting White House Chief of Staff and Director of the Office of Management and Budget.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a76b0d6c8190a09b1a0bd4a6eeec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733c2e608190962440d6ef637784 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:37 p.m.