Triple
T10597364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanaline Holt Inman Duke |
E250149
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Duke
Duke is a prominent American surname historically associated with wealth, philanthropy, and influence, most notably through the Duke family of North Carolina.
|
E567682
|
NE FINISHED |
How this triple was built (4 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: Duke | Statement: [Nanaline Holt Inman Duke, familyName, Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Context triple: [Nanaline Holt Inman Duke, familyName, Duke]
-
A.
Duke
Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
-
B.
Duke
Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
-
C.
Duke
Duke is the bulldog mascot representing York Community High School’s athletic teams and school spirit.
-
D.
Duke
Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
-
E.
Duke
Duke is the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Duke Triple: [Nanaline Holt Inman Duke, familyName, Duke]
Generated description
Duke is a prominent American surname historically associated with wealth, philanthropy, and influence, most notably through the Duke family of North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duke Target entity description: Duke is a prominent American surname historically associated with wealth, philanthropy, and influence, most notably through the Duke family of North Carolina.
-
A.
Duke
chosen
Duke is a prominent American family name most famously associated with the wealthy industrialist and philanthropic Duke family of North Carolina.
-
B.
Duke
Duke is a surname most prominently associated with David Duke, an American white supremacist and former Ku Klux Klan leader.
-
C.
Duke
Duke is the nickname of Duke Ellington, the influential American jazz composer, pianist, and bandleader who became a central figure in 20th-century music.
-
D.
Duke
Duke is a prominent clan of the Efik people, historically influential in their social and political organization in southeastern Nigeria.
-
E.
Duke
Duke is the famous nickname of American actor John Wayne, a legendary Hollywood star known for his roles in Westerns and war films.
- F. None of above.
Provenance (5 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_69d5278e5d5481908f4e19c52bd80327 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e955d908190a5b26faf2558d78c |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d96145d1ec8190b3228733159e1364 |
completed | April 10, 2026, 8:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9623cf54081908abcdc88e13d5176 |
completed | April 10, 2026, 8:49 p.m. |
Created at: April 6, 2026, 12:41 p.m.