Triple

T963800
Position Surface form Disambiguated ID Type / Status
Subject University of Florida E20791 entity
Predicate president P8 FINISHED
Object Ben Sasse E102555 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: Ben Sasse | Statement: [University of Florida, president, Ben Sasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Sasse
Context triple: [University of Florida, president, Ben Sasse]
  • A. Ben Sasse chosen
    Ben Sasse is an American academic and politician who served as a U.S. Senator from Nebraska before becoming president of the University of Florida.
  • B. Pete Ricketts
    Pete Ricketts is an American businessman and Republican politician who served as the governor of Nebraska and later as a U.S. senator from the state.
  • C. Rand Paul
    Rand Paul is a U.S. Senator from Kentucky and a prominent libertarian-leaning Republican known for his advocacy of limited government and civil liberties.
  • D. Mitch McConnell
    Mitch McConnell is a long-serving Republican U.S. senator from Kentucky who has been one of the most powerful and influential legislative leaders in modern American politics.
  • E. Scott Reid
    Scott Reid is a Canadian politician and long-serving Conservative Member of Parliament known for his work on constitutional issues and democratic reform.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4303e5881909d101d11f9732c75 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a6107481909b152291a73958d3 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.