Triple
T31634883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylar Diggins-Smith |
E807286
|
entity |
| Predicate | NotreDameCareerPointsRank |
P149587
|
FINISHED |
| Object | one of the program’s all-time leading scorers |
—
|
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: one of the program’s all-time leading scorers | Statement: [Skylar Diggins-Smith, NotreDameCareerPointsRank, one of the program’s all-time leading scorers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NotreDameCareerPointsRank Context triple: [Skylar Diggins-Smith, NotreDameCareerPointsRank, one of the program’s all-time leading scorers]
-
A.
playedForCollegeTeamUntil
Indicates that an individual was a member of and played for a specific college team up to (and including) a particular end date or season.
-
B.
scoredPointsPerGameInCollege
Indicates the average number of points an entity (typically an athlete) scored per game during their college career.
-
C.
pointsScoredInCollegeCareer
chosen
Indicates the total number of points an individual scored over the entirety of their college playing career.
-
D.
HeismanTrophyPosition
Indicates the playing position associated with a recipient of the Heisman Trophy.
-
E.
careerPasserRating
Indicates a player's overall passer rating calculated across their entire career, summarizing their long-term passing performance.
- F. None of above.
Provenance (3 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abaa1f648190b77073771df3bf3b |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1e84b88190b025f6ca40f17a8a |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 10:46 p.m.