Triple

T4899280
Position Surface form Disambiguated ID Type / Status
Subject Richard Cordray E109756 entity
Predicate appointedBy P257 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: [Richard Cordray, appointedBy, Barack Obama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barack Obama
Context triple: [Richard Cordray, appointedBy, 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. Roy Obama
    Roy Obama is a Kenyan-born half-brother of former U.S. President Barack Obama, known primarily as a member of the Obama family.
  • C. Auma Obama
    Auma Obama is a Kenyan-British community activist, author, and sociologist known for her work in sustainable development and as the half-sister of former U.S. President Barack Obama.
  • D. Clinton
    Clinton is a small New England town in Worcester County, Massachusetts, known historically for its textile mills and the nearby Wachusett Reservoir.
  • E. Clinton
    Clinton, also known as Hell's Kitchen, is a vibrant New York City neighborhood on Manhattan’s West Side known for its diverse dining, Off-Broadway theaters, and proximity to Midtown.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e4adfc48190b35bf3ad59779bd8 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fc2f00881908cae1e68df2019e3 completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:28 p.m.