Triple
T8013880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt LaFleur |
E186561
|
entity |
| Predicate | usesOffensiveScheme |
P60164
|
FINISHED |
| Object | West Coast offense principles |
—
|
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: West Coast offense principles | Statement: [Matt LaFleur, usesOffensiveScheme, West Coast offense principles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOffensiveScheme Context triple: [Matt LaFleur, usesOffensiveScheme, West Coast offense principles]
-
A.
usedOffensiveSystem
Indicates that an entity employed an offensive system (such as a weapon or attack mechanism) against another entity or target.
-
B.
hasScheme
chosen
Indicates that one entity is associated with, defined by, or governed through a particular scheme, plan, or structured framework.
-
C.
usedOutside
Indicates that something is utilized or applied in a context, location, or situation external to its primary or original setting.
-
D.
hasOfficialUse
Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
-
E.
hasColourScheme
Indicates that an entity is associated with a particular set or pattern of colors used in its design or appearance.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df0f4bc8190ae87586972018085 |
completed | March 31, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:19 p.m.