Triple
T2035512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke blue |
E44615
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Duke royal blue |
E44615
|
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: Duke royal blue | Statement: [Duke blue, hasAlternativeName, Duke royal blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duke royal blue Context triple: [Duke blue, hasAlternativeName, Duke royal blue]
-
A.
Duke blue
chosen
Duke blue is the distinctive deep royal blue shade associated with Duke University’s branding and athletic teams.
-
B.
Butler Blue
Butler Blue is the live English bulldog that serves as the beloved mascot of Butler University and its athletic teams.
-
C.
Oxford blue
Oxford blue is a dark, rich shade of navy traditionally associated with the University of Oxford and its sports teams.
-
D.
Dartmouth green
Dartmouth green is the distinctive dark green color traditionally associated with Dartmouth College and used prominently in its branding and athletic uniforms.
-
E.
Cambridge blue
Cambridge blue is a light, greyish-blue color traditionally associated with the University of Cambridge and its sports teams.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb934ff948190acd88d4f587463a4 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff03d3c8190adef0224aac989bd |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:39 p.m.