Triple

T3739155
Position Surface form Disambiguated ID Type / Status
Subject Janet Yellen E79656 entity
Predicate appointedBy P257 FINISHED
Object Joe Biden E8825 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: Joe Biden | Statement: [Janet Yellen, appointedBy, Joe Biden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Biden
Context triple: [Janet Yellen, appointedBy, Joe Biden]
  • A. Joe Biden chosen
    Joe Biden is the 46th president of the United States, a longtime Democratic politician who previously served as vice president under Barack Obama and as a U.S. senator from Delaware.
  • B. Bush Terminal
    Bush Terminal is a historic industrial and shipping complex in Brooklyn, New York, that played a major role in the city’s maritime and manufacturing economy.
  • C. Jim Carter
    Jim Carter is an English actor best known for his role as butler Mr. Carson in the television series "Downton Abbey."
  • D. William Davis
    William Davis was a settler who is historically remembered as one of the notable victims killed during the 1862 Indian Creek massacre in Illinois.
  • E. Jimmy Carter
    Jimmy Carter is the 39th president of the United States, known for his emphasis on human rights, diplomatic efforts such as the Camp David Accords, and extensive humanitarian work after leaving office.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb404b908190b6b4ee583dee3cc9 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.