Triple
T19014941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence "Big House" Gaines |
E465321
|
entity |
| Predicate | coachedYearsAtWinstonSalemState |
P15414
|
FINISHED |
| Object | 47 |
—
|
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: 47 | Statement: [Clarence "Big House" Gaines, coachedYearsAtWinstonSalemState, 47]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedYearsAtWinstonSalemState Context triple: [Clarence "Big House" Gaines, coachedYearsAtWinstonSalemState, 47]
-
A.
endTimeAsHeadCoachOfWakeForest
Indicates the date and time when an individual’s tenure as head coach of Wake Forest ends.
-
B.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
C.
coachedAthletesAt
Indicates a relationship where a coach has trained or instructed athletes at a particular organization, team, or location.
-
D.
yearsActiveAsCoach
chosen
Indicates the span of time, typically in years, during which an individual has served in a coaching role.
-
E.
coachedUntil
Indicates that one entity served as a coach for another entity or team up to a specified end time or date.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6d9f2a081908c0e923809da88e2 |
completed | April 20, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.