Triple
T2268802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auma Obama |
E50609
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Auma Obama |
E50609
|
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: Auma Obama | Statement: [Auma Obama, name, Auma Obama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auma Obama Context triple: [Auma Obama, name, Auma Obama]
-
A.
Auma Obama
chosen
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.
-
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.
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.
-
D.
Michelle Obama
Michelle Obama is an American lawyer, author, and former First Lady of the United States known for her advocacy on education, health, and military families.
-
E.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1bd376c8190a43decde599f62e6 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d70e488190a2f8276dd7a7bf9e |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.