Triple
T355531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Garnett |
E7533
|
entity |
| Predicate | NBAMostValuablePlayerAward |
P11646
|
FINISHED |
| Object | 2003–04 |
—
|
LITERAL 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: 2003–04 | Statement: [Kevin Garnett, NBAMostValuablePlayerAward, 2003–04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NBAMostValuablePlayerAward Context triple: [Kevin Garnett, NBAMostValuablePlayerAward, 2003–04]
-
A.
NBAAllStarGameMVPawards
Indicates that the subject has received one or more NBA All-Star Game Most Valuable Player (MVP) awards.
-
B.
NBAFinalsMVP
Indicates that the person was awarded the Most Valuable Player (MVP) honor for their performance in an NBA Finals series.
-
C.
NBAExecutiveOfTheYearAwards
Indicates the relationship where an individual receives or is honored with the NBA Executive of the Year award for a particular season or time period.
-
D.
MVPRebounds
Indicates that the subject, as a league MVP, recorded a specified number of rebounds (or achieved a notable rebounding performance).
-
E.
NBAExecutiveOfTheYearAwardYear
Indicates the specific year in which an individual received the NBA Executive of the Year award.
- F. None of above. chosen
Provenance (4 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebad8bf08190b4a38ffd9157d641 |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9589e7c8190b2d3af8f858c96af |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0b23ec8190bef9d593162388a4 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.