Triple
T10599275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Day |
E275698
|
entity |
| Predicate | yearAwardedBigTenCoachOfTheYear |
P94858
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Ryan Day, yearAwardedBigTenCoachOfTheYear, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearAwardedBigTenCoachOfTheYear Context triple: [Ryan Day, yearAwardedBigTenCoachOfTheYear, 2019]
-
A.
numberOfTimesAwardedBigTenCoachOfTheYear
Indicates how many times an individual has received the Big Ten Coach of the Year award.
-
B.
hasWonAPCollegeCoachOfTheYear
Indicates that the subject has received an AP College Coach of the Year award.
-
C.
numberOfPac12CoachOfTheYearAwards
Indicates the number of times an entity has received the Pac-12 Coach of the Year award.
-
D.
NFLCoachOfTheYearAward
Indicates that an individual has been recognized as the recipient of the NFL Coach of the Year award for a particular season.
-
E.
HeismanTrophyWinner
Indicates that the subject is the recipient of the Heisman Trophy, awarded annually to the most outstanding player in U.S. college football.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4992248190b640d743ccf02c82 |
completed | April 8, 2026, 11:05 p.m. |
| PD | Predicate disambiguation | batch_69d6dd72c1288190adbb5e79e94c044a |
completed | April 8, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 7:30 p.m.