Triple
T5797617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA Slam Dunk Contest |
E128545
|
entity |
| Predicate | maximumScorePerDunk |
P66589
|
FINISHED |
| Object | 50 points |
—
|
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: 50 points | Statement: [NBA Slam Dunk Contest, maximumScorePerDunk, 50 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumScorePerDunk Context triple: [NBA Slam Dunk Contest, maximumScorePerDunk, 50 points]
-
A.
SlamDunkContestWinner
Indicates that the subject is the winner of a slam dunk contest competition.
-
B.
criterionFreeThrowPercentageMinimum
Indicates that a minimum free throw percentage threshold is specified as a criterion for selection or evaluation.
-
C.
pointsScored
Indicates the number of points an entity has earned or achieved in a particular event, game, or context.
-
D.
franchiseReboundsLeader
Indicates the player who holds the record for the most rebounds in a franchise’s history.
-
E.
championshipGameScore
Indicates the final score achieved by each participant in a championship game.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b10def8819080859bc6505405ed |
completed | March 22, 2026, 5:46 p.m. |
Created at: March 22, 2026, 3:51 p.m.