Triple
T22406807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Kapono |
E553898
|
entity |
| Predicate | playedForUCLAFrom |
P51321
|
FINISHED |
| Object | 1999 |
—
|
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: 1999 | Statement: [Jason Kapono, playedForUCLAFrom, 1999]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForUCLAFrom Context triple: [Jason Kapono, playedForUCLAFrom, 1999]
-
A.
playedForCollegeTeamFrom
chosen
Indicates that an individual was a member of and played for a specific college team starting in a given year.
-
B.
keyPlayerUCLA
Indicates that an entity plays a central or pivotal role as a key player for the UCLA team or organization.
-
C.
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.
-
D.
playedCollegeBasketballFor
Indicates that a person was a member of and competed for a specific college or university’s basketball team.
-
E.
playedCollegeTeam
Indicates that an athlete was a member of and competed for a particular college sports team.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b835e88190a388e19577df771e |
completed | April 29, 2026, 1:02 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
Created at: April 16, 2026, 8:46 p.m.