Triple
T23545873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McDonald's All-American |
E577891
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object | Kevin Garnett |
—
|
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: Kevin Garnett | Statement: [McDonald's All-American, hasAlumni, Kevin Garnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Garnett Context triple: [McDonald's All-American, hasAlumni, Kevin Garnett]
-
A.
Kevin Garnett
chosen
Kevin Garnett is a Hall of Fame NBA power forward/center renowned for his intense defense, versatility, and leadership, highlighted by winning the 2008 championship and Defensive Player of the Year with the Boston Celtics.
-
B.
Joe Garnett
Joe Garnett is an artist and designer known for creating album cover artwork, including the cover for the record "Full Circle."
-
C.
Paul Pierce
Paul Pierce is a Hall of Fame NBA forward best known as the longtime star and 2008 Finals MVP of the Boston Celtics.
-
D.
Grant Hill
Grant Hill is a former NBA star forward renowned for his all-around versatility, multiple All-Star selections, and a career that spanned teams like the Detroit Pistons and Orlando Magic.
-
E.
Grant Hill
Grant Hill is a film producer best known for his work on acclaimed movies such as "The Thin Red Line," "The Matrix" sequels, and other major Hollywood productions.
- 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.