Triple
T10518862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Bylsma |
E248108
|
entity |
| Predicate | hallmarkStyle |
P69789
|
FINISHED |
| Object | up-tempo offensive system as coach |
—
|
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: up-tempo offensive system as coach | Statement: [Dan Bylsma, hallmarkStyle, up-tempo offensive system as coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallmarkStyle Context triple: [Dan Bylsma, hallmarkStyle, up-tempo offensive system as coach]
-
A.
honourStyle
Indicates a relationship where one entity follows, respects, or upholds the manner, customs, or stylistic approach associated with another.
-
B.
styleHeldBy
chosen
Indicates that a particular style, design, or aesthetic is possessed, used, or embodied by a specific entity.
-
C.
heritageStyle
Indicates that one entity is characterized by, designed in, or associated with a particular heritage or traditional style defined by the other entity.
-
D.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
-
E.
exhibitStyle
Indicates that an entity displays, demonstrates, or embodies a particular style or manner of expression.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509dd29b48190aa5b170e2558545c |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb94fa10819091f585bab4379c6f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:28 p.m.