Triple
T25667733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Dedeaux |
E643569
|
entity |
| Predicate | totalWinsAsCollegeCoach |
P39702
|
FINISHED |
| Object | over 1300 |
—
|
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: over 1300 | Statement: [Rod Dedeaux, totalWinsAsCollegeCoach, over 1300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalWinsAsCollegeCoach Context triple: [Rod Dedeaux, totalWinsAsCollegeCoach, over 1300]
-
A.
coachingRecordCollegeWins
chosen
Indicates the number of games a coach has won at the college level in their coaching record.
-
B.
nationalChampionshipsWonAsCoach
Indicates the number of national championship titles an individual has won specifically in the role of a coach.
-
C.
hasWonAPCollegeCoachOfTheYear
Indicates that the subject has received an AP College Coach of the Year award.
-
D.
overallCollegeCoachingRecord
Indicates the summarized win-loss (and often tie) coaching performance record of a college coach across all seasons and teams.
-
E.
playedForCollegeCoach
Indicates that an athlete was coached by a specific college coach while playing for that coach’s 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_69e77e7e45648190a068ed3faa8016ea |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 21, 2026, 7:07 p.m.