Triple
T15439643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Switzer |
E369862
|
entity |
| Predicate | overallCollegeRecord |
P76762
|
FINISHED |
| Object | 157–29–4 |
—
|
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: 157–29–4 | Statement: [Barry Switzer, overallCollegeRecord, 157–29–4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallCollegeRecord Context triple: [Barry Switzer, overallCollegeRecord, 157–29–4]
-
A.
overallCollegeCoachingRecord
chosen
Indicates the summarized win-loss (and often tie) coaching performance record of a college coach across all seasons and teams.
-
B.
coachingRecordCollegeWins
Indicates the number of games a coach has won at the college level in their coaching record.
-
C.
collegeTeamPointsRecord
Indicates the record of points scored by a college sports team, typically summarizing their scoring performance over a season or set of games.
-
D.
collegeTeamBlocksRecord
Indicates that a college sports team holds or has achieved a record number of blocked shots or blocks in competition.
-
E.
scoredPointsPerGameInCollege
Indicates the average number of points an entity (typically an athlete) scored per game during their college career.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eddf258819082679970b7d2b6af |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.