Triple
T6615945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigham Young Cougars football team |
E149350
|
entity |
| Predicate | offensiveIdentity |
P25454
|
FINISHED |
| Object | pass-oriented offense |
—
|
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: pass-oriented offense | Statement: [Brigham Young Cougars football team, offensiveIdentity, pass-oriented offense]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offensiveIdentity Context triple: [Brigham Young Cougars football team, offensiveIdentity, pass-oriented offense]
-
A.
offenseNicknamed
Indicates that an offensive unit, team, or strategy is commonly referred to by a particular nickname.
-
B.
usedOffensiveSystem
Indicates that an entity employed an offensive system (such as a weapon or attack mechanism) against another entity or target.
-
C.
offense
Indicates that one entity commits, causes, or is responsible for a violation, wrongdoing, or rule-breaking act against another entity or governing norms.
-
D.
offensiveStrategy
chosen
Indicates a strategic approach focused on attacking or aggressively advancing against an opponent.
-
E.
insultedAs
Indicates that one entity directed an insulting or offensive remark or action toward another entity, characterizing the target in a demeaning way.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.