Triple
T357891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hillary Clinton |
E7583
|
entity |
| Predicate | servedInAdministrationOf |
P1543
|
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: [Hillary Clinton, servedInAdministrationOf, Barack Obama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barack Obama Context triple: [Hillary Clinton, servedInAdministrationOf, 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.
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.
-
C.
Clinton
Clinton is a prominent American political surname most famously associated with Hillary Clinton, the former U.S. Secretary of State, senator, and First Lady.
-
D.
Clinton
Clinton is a small town in Dutchess County, New York, known for its rural character and historic Hudson Valley setting.
-
E.
Johnson
Johnson is a common English surname borne by numerous notable individuals across politics, arts, sports, and other fields.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47d24fcd08190bdd981f0f2d50000 |
completed | March 1, 2026, 5:53 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.