Triple
T26622693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Holgorsen |
E668244
|
entity |
| Predicate | coachedNotableQuarterbacks |
P18813
|
FINISHED |
| Object | Geno Smith |
—
|
NE NERFINISHED |
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: Geno Smith | Statement: [Dana Holgorsen, coachedNotableQuarterbacks, Geno Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedNotableQuarterbacks Context triple: [Dana Holgorsen, coachedNotableQuarterbacks, Geno Smith]
-
A.
coachedQuarterback
chosen
Indicates that one person served as the coach of a particular quarterback.
-
B.
coachedNotableRunningBack
Indicates that one entity served as the coach of a running back who is considered notable or distinguished in the sport.
-
C.
coachedNotableTightEnd
Indicates that one entity served as the coach of another entity who is recognized as a notable tight end.
-
D.
notableFormerQuarterback
Indicates that the subject was previously a quarterback and is recognized as notable or distinguished in that former role.
-
E.
quarterbacksCoachFor
Indicates that one person serves as the quarterbacks coach for a particular football team or individual quarterback.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 2:21 a.m.