Triple
T17716686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duquesne Dukes football |
E442217
|
entity |
| Predicate | teamName |
P7598
|
FINISHED |
| Object | Dukes |
—
|
NE NERFINISHED |
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: Dukes | Statement: [Duquesne Dukes football, teamName, Dukes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dukes Context triple: [Duquesne Dukes football, teamName, Dukes]
-
A.
Dukes
chosen
The Dukes are the athletic teams representing Duquesne University in collegiate sports competitions.
-
B.
Dukes
Dukes were high-ranking noble rulers within the Holy Roman Empire who held significant territorial authority and political influence, often participating in imperial institutions such as the Reichstag.
-
C.
Dukes
Dukes is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
D.
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.
-
E.
The Dukes
The Dukes is a prominent theatre and arts venue in Lancaster, England, known for its diverse live performances and cultural programming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.