Triple
T19004924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence "Big House" Gaines |
E465054
|
entity |
| Predicate | coachingSeasonsAtWinstonSalemState |
P134096
|
FINISHED |
| Object | over 40 seasons |
—
|
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 40 seasons | Statement: [Clarence "Big House" Gaines, coachingSeasonsAtWinstonSalemState, over 40 seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachingSeasonsAtWinstonSalemState Context triple: [Clarence "Big House" Gaines, coachingSeasonsAtWinstonSalemState, over 40 seasons]
-
A.
endTimeAsHeadCoachOfWakeForest
Indicates the date and time when an individual’s tenure as head coach of Wake Forest ends.
-
B.
coachingEra
Indicates the time period during which a particular coach is in charge of a team or individual.
-
C.
yearsActiveAsCoach
Indicates the span of time, typically in years, during which an individual has served in a coaching role.
-
D.
coachedAthletesAt
Indicates a relationship where a coach has trained or instructed athletes at a particular organization, team, or location.
-
E.
numberOfSeasonsCoachedAtBostonUniversity
Indicates the number of seasons an individual has served as a coach at Boston University.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a3db9c8190a1bf0228e360a6e0 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:01 p.m.