Triple

T2512705
Position Surface form Disambiguated ID Type / Status
Subject Hyde Park, Chicago E52736 entity
Predicate hasResident P6481 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: [Hyde Park, Chicago, hasResident, Barack Obama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barack Obama
Context triple: [Hyde Park, Chicago, hasResident, 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 is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f86a1bc8190af02a1109ccf0773 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.