Triple
T7891025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikal Bridges |
E183232
|
entity |
| Predicate | collegeChampionshipYear |
P79595
|
FINISHED |
| Object | 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: 2016 | Statement: [Mikal Bridges, collegeChampionshipYear, 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeChampionshipYear Context triple: [Mikal Bridges, collegeChampionshipYear, 2016]
-
A.
collegeAwardYear
Indicates the year in which a college-level award was granted or conferred.
-
B.
claimedNationalChampionshipSeason
Indicates that a team asserts or recognizes a particular season as one in which it won a national championship.
-
C.
playedCollegeYears
Indicates the span of years during which an entity participated in college-level play (e.g., as a student-athlete).
-
D.
NCAANationalChampionshipYearsApprox
Indicates the approximate years in which an entity won the NCAA national championship.
-
E.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39ee137081908e87e35016c3a176 |
completed | March 31, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69cae92b0cd881908e715a10d3252e83 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 5 p.m.