Triple
T9578570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Fuqua |
E231110
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fuqua |
E325751
|
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: Fuqua | Statement: [Antoine Fuqua, familyName, Fuqua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuqua Context triple: [Antoine Fuqua, familyName, Fuqua]
-
A.
Fuqua
chosen
Fuqua is a surname of likely French origin borne by various notable individuals, including American politician Don Fuqua.
-
B.
Hamilton Dukes
Hamilton Dukes was a professional sports team based in Hamilton, Ontario, that played its home games at FirstOntario Centre.
-
C.
McNair
McNair is a Scottish-origin surname borne by various notable individuals, including American physicist and NASA astronaut Ronald McNair.
-
D.
J. B. Fuqua
J. B. Fuqua was an American businessman and philanthropist best known for his major contributions to education, including endowing Duke University's Fuqua School of Business.
-
E.
Penn Nouth
Penn Nouth was a prominent Cambodian politician who served multiple times as prime minister under Prince Norodom Sihanouk during the mid-20th century.
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:05 p.m.