Triple

T22170190
Position Surface form Disambiguated ID Type / Status
Subject Barack Obama E547899 entity
Predicate familyName P18 FINISHED
Object Obama NE NERFINISHED

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: [Barack Obama, familyName, Obama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obama
Context triple: [Barack Obama, familyName, 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. 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 small city in western Oklahoma known for its Route 66 heritage and regional agricultural and energy-based economy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a67f4dc81909cc5f8d2c1fe6129 completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.