Triple
T2450302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Blue Devils men's basketball |
E53687
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Duke
Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
|
E267514
|
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: [Duke Blue Devils men's basketball, shortName, Duke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke Context triple: [Duke Blue Devils men's basketball, shortName, Duke]
-
A.
Duke
A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
-
B.
Duke
Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
-
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 the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
-
E.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
- 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: [Duke Blue Devils men's basketball, shortName, Duke]
Generated description
Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Duke Target entity description: Duke is the men's basketball team of Duke University, renowned as one of the most successful and storied programs in NCAA history.
-
A.
Duke
A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
-
B.
Duke
Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
-
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 the nickname of Hall of Fame Brooklyn Dodgers center fielder Duke Snider, one of baseball’s premier sluggers of the 1950s.
-
E.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
- F. None of above. chosen
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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd0f402b48190b871b2475983af7e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0c2a7b08190beb27f6a83208e5c |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef5de0e4c8190af460b7e2fb2a5eb |
completed | March 9, 2026, 4:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef68a6a18819097876fea0120103b |
completed | March 9, 2026, 4:34 p.m. |
Created at: March 6, 2026, 9:43 p.m.