Triple
T22213192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron Gordon |
E549006
|
entity |
| Predicate | slamDunkContestResult |
P147311
|
FINISHED |
| Object | runner-up in 2016 |
—
|
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: runner-up in 2016 | Statement: [Aaron Gordon, slamDunkContestResult, runner-up in 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slamDunkContestResult Context triple: [Aaron Gordon, slamDunkContestResult, runner-up in 2016]
-
A.
slamDunkContestHeld
Indicates that a slam dunk contest event has taken place or been conducted.
-
B.
SlamDunkContestWinner
Indicates that the subject is the winner of a slam dunk contest competition.
-
C.
slamDunkContestTiming
Indicates the temporal relationship of when a slam dunk contest occurs or is scheduled relative to other events or time points.
-
D.
maximumScorePerDunk
Indicates the highest number of points that can be awarded for a single dunk action in the given context.
-
E.
NBAReboundingLeaderYears
Indicates the years in which an entity was the NBA leader in rebounds.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2d607c81909511761b5563ddee |
completed | April 28, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e723f65c5c8190a0ee3c539e5d0767 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 8:37 p.m.