Triple
T9563760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylar Diggins-Smith |
E230738
|
entity |
| Predicate | collegeTeamAssists |
P89811
|
FINISHED |
| Object | 600+ career assists at Notre Dame |
—
|
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: 600+ career assists at Notre Dame | Statement: [Skylar Diggins-Smith, collegeTeamAssists, 600+ career assists at Notre Dame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeTeamAssists Context triple: [Skylar Diggins-Smith, collegeTeamAssists, 600+ career assists at Notre Dame]
-
A.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
-
B.
collegeTeamCoach
Indicates that one entity serves as the coach of a college sports team represented by the other entity.
-
C.
collegeTeamPointsPerGameLeader
Indicates the player who leads a college team in average points scored per game.
-
D.
collegeChampionshipTeam
Indicates that a team is the winner of a specified college-level championship competition.
-
E.
topAssistsAssistsPerGame
Indicates that the subject ranks among the top performers in terms of average assists made per 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9968b8608190b3078fe5764f0a69 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:04 p.m.