Triple
T10591382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auma Obama |
E249997
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Auma |
E249997
|
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 | Statement: [Auma Obama, givenName, Auma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auma Context triple: [Auma Obama, givenName, Auma]
-
A.
Auma
chosen
Auma is a Kenyan-British community activist, sociologist, and author best known as the half-sister of former U.S. President Barack Obama.
-
B.
Akena
Akena is a Ugandan surname notably borne by politician Jimmy Akena, associated with the country’s contemporary political landscape.
-
C.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Kaula
Kaula is a small, uninhabited rocky islet off the coast of Kauai in Hawaii, known for its steep cliffs, seabird colonies, and use as a U.S. Navy bombing range.
-
E.
Amar'e
Amar'e is a retired American professional basketball player best known as an explosive All-Star power forward in the NBA, primarily with the Phoenix Suns and New York Knicks.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5277c79808190acc872919eadd126 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e85c49c8190a580536be07c0405 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:40 p.m.