Triple

T15835362
Position Surface form Disambiguated ID Type / Status
Subject Peter Orszag E383970 entity
Predicate name P16 FINISHED
Object Peter Orszag E383970 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: Peter Orszag | Statement: [Peter Orszag, name, Peter Orszag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Orszag
Context triple: [Peter Orszag, name, Peter Orszag]
  • A. Peter Orszag chosen
    Peter Orszag is an American economist and former Director of the Office of Management and Budget under President Barack Obama, known for his work on fiscal policy and public finance.
  • B. 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.
  • C. Gene Sperling
    Gene Sperling is an American economist and policy advisor who served as Director of the National Economic Council under Presidents Bill Clinton and Barack Obama.
  • D. Ron Rubin
    Ron Rubin is a Canadian voice actor known for his work in animated television series and films.
  • E. Peter McConnell
    Peter McConnell is an American video game composer best known for his work on numerous LucasArts titles and the Psychonauts series.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e673e08819080c3f55a225607c7 completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa137be2c81909c8f04b5cc1a5b21 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.