Triple
T23575968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Ross |
E580256
|
entity |
| Predicate | collegeTeamCoachingSuccess |
P2176
|
FINISHED |
| Object | Georgia Tech Yellow Jackets football |
—
|
NE NERFINISHED |
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: Georgia Tech Yellow Jackets football | Statement: [Bobby Ross, collegeTeamCoachingSuccess, Georgia Tech Yellow Jackets football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeTeamCoachingSuccess Context triple: [Bobby Ross, collegeTeamCoachingSuccess, Georgia Tech Yellow Jackets football]
-
A.
collegeTeamCoach
Indicates that one entity serves as the coach of a college sports team represented by the other entity.
-
B.
collegeTeamCoached
chosen
Indicates that a person has served as a coach for a particular college sports team.
-
C.
coachesInConference
Indicates that a coach is responsible for leading or coaching a team within a specified athletic conference.
-
D.
collegeTeam
Indicates that one entity is a sports team that represents or is affiliated with a particular college or university.
-
E.
overallCollegeCoachingRecord
Indicates the summarized win-loss (and often tie) coaching performance record of a college coach across all seasons and teams.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd6608481909a0d293ba8f65b2b |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.