Triple
T2594189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brittney Griner |
E58189
|
entity |
| Predicate | NCAANationalChampionship |
P6611
|
FINISHED |
| Object | 2012 with Baylor |
—
|
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: 2012 with Baylor | Statement: [Brittney Griner, NCAANationalChampionship, 2012 with Baylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NCAANationalChampionship Context triple: [Brittney Griner, NCAANationalChampionship, 2012 with Baylor]
-
A.
NCAAChampionship
chosen
Indicates that an entity has won, holds, or is otherwise associated with an NCAA (National Collegiate Athletic Association) championship title in a particular sport or event.
-
B.
NITchampionship
Indicates that an entity has won the championship title of the National Invitation Tournament (NIT) in college basketball.
-
C.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
-
D.
nationalChampionshipTitle
Indicates that an entity has won a national-level championship title in a particular sport, competition, or field.
-
E.
championshipGame
Indicates a game that determines the overall champion or winner of a competition or tournament.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd427f58c8190af1c1a9724158c96 |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.