Triple
T23545884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonald's All-American |
E577891
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Derrick Rose |
—
|
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: Derrick Rose | Statement: [McDonald's All-American, hasAlumni, Derrick Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derrick Rose Context triple: [McDonald's All-American, hasAlumni, Derrick Rose]
-
A.
Derrick Rose
chosen
Derrick Rose is an American professional basketball point guard best known for becoming the youngest NBA Most Valuable Player while starring for the Chicago Bulls.
-
B.
Tyrese Rice
Tyrese Rice is an American-born professional basketball player best known for his standout performances in European leagues, where he became one of the top scoring and playmaking guards.
-
C.
Madison Marquette
Madison Marquette is a real estate investment and development firm known for its work on large-scale mixed-use and waterfront projects across the United States.
-
D.
Dez Wade
Dez Wade is a quirky, enthusiastic aspiring filmmaker and best friend of Austin Moon on the Disney Channel series "Austin & Ally."
-
E.
Bruce James
Bruce James is an actor best known for his role in the action-thriller film "Snakes on a Plane."
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aeca3a408190899989fc8175e9c5 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.