Triple

T6280
Position Surface form Disambiguated ID Type / Status
Subject Democratic Party E125 entity
Predicate notablePresident P22 FINISHED
Object Barack Obama E304 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: Barack Obama | Statement: [Democratic Party, notablePresident, Barack Obama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barack Obama
Context triple: [Democratic Party, notablePresident, Barack Obama]
  • A. Barack Obama chosen
    Barack Obama is an American politician and attorney who served as the 44th president of the United States and the first African American to hold the office.
  • B. Donald Trump
    Donald Trump is an American businessman, television personality, and politician who served as the 45th president of the United States from 2017 to 2021.
  • C. Howard
    Howard is the middle name of Edwin H. Armstrong, the pioneering American electrical engineer and inventor of FM radio.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Ronald Reagan
    Ronald Reagan was the 40th president of the United States, known for his conservative economic policies, Cold War leadership, and influential role in reshaping American politics in the 1980s.
  • 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_69a23bb612708190b09f25385e4b63d1 completed Feb. 28, 2026, 12:49 a.m.
NER Named-entity recognition batch_69a24659cfe0819088c2e8a61c2274f3 completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a25aac4900819093912edb0121ff9d completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 12:54 a.m.