Triple

T10921628
Position Surface form Disambiguated ID Type / Status
Subject Mark Obama Ndesandjo E257959 entity
Predicate givenName P17 FINISHED
Object Obama E64626 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: Obama | Statement: [Mark Obama Ndesandjo, givenName, Obama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obama
Context triple: [Mark Obama Ndesandjo, givenName, Obama]
  • A. Barack Obama
    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 chosen
    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. 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.
  • 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 is a Chicago 'L' rapid transit station on the Blue Line serving the city's downtown area.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77082a1488190850a4409339c3e1e completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2172894d88190b7b27f78e9fd1521 completed April 17, 2026, 11:19 a.m.
Created at: April 8, 2026, 9:22 p.m.