Triple

T129875
Position Surface form Disambiguated ID Type / Status
Subject A Promised Land E2630 entity
Predicate subject P450 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: [A Promised Land, subject, Barack Obama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barack Obama
Context triple: [A Promised Land, subject, 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. Clinton
    Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • C. Johnson
    Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
  • D. Barack Obama Sr.
    Barack Obama Sr. was a Kenyan economist and government official best known as the father of U.S. President Barack Obama.
  • E. Joe Biden
    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.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257845c548190bfb49409988d1c57 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a399a12344819097028715c166ecb7 completed March 1, 2026, 1:42 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.