Triple
T8986556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duquesne University |
E214679
|
entity |
| Predicate | athleticsNickname |
P55
|
FINISHED |
| Object |
Dukes
The Dukes are the athletic teams representing Duquesne University in collegiate sports competitions.
|
E771449
|
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: Dukes | Statement: [Duquesne University, athleticsNickname, Dukes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dukes Context triple: [Duquesne University, athleticsNickname, Dukes]
-
A.
Dukes
Dukes is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
B.
The Dukes
The Dukes are Steve Earle’s longtime backing band, known for their gritty blend of country, rock, and Americana on many of his recordings and tours.
-
C.
Dons
Dons is the nickname for the University of San Francisco's men's basketball team, a program known for its historic success including multiple national championships in the 1950s.
-
D.
Dons
Dons is a common nickname for the Essendon Football Club, a professional Australian rules football team in the Australian Football League.
-
E.
The Royals
The Royals is the nickname of the Royal Canadian Regiment, one of Canada's oldest and most distinguished regular infantry regiments.
- 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: Dukes Triple: [Duquesne University, athleticsNickname, Dukes]
Generated description
The Dukes are the athletic teams representing Duquesne University in collegiate sports competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dukes Target entity description: The Dukes are the athletic teams representing Duquesne University in collegiate sports competitions.
-
A.
Dukes
Dukes is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
B.
The Dukes
The Dukes are Steve Earle’s longtime backing band, known for their gritty blend of country, rock, and Americana on many of his recordings and tours.
-
C.
Dons
Dons is the nickname for the University of San Francisco's men's basketball team, a program known for its historic success including multiple national championships in the 1950s.
-
D.
Dons
Dons is a common nickname for the Essendon Football Club, a professional Australian rules football team in the Australian Football League.
-
E.
The Royals
The Royals is the nickname of the Royal Canadian Regiment, one of Canada's oldest and most distinguished regular infantry regiments.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67eddbf08190afca16e0be435241 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0bdb05c8190bb1fb5f0272a450a |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd25b98208190bbdfe0d8bd13e183 |
completed | April 3, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd2ef0e788190843f270564add7a2 |
completed | April 3, 2026, 2:47 p.m. |
Created at: March 30, 2026, 7:04 p.m.