Triple
T2808501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas A&M Athletics |
E54109
|
entity |
| Predicate | hasCheerleadersType |
P13349
|
FINISHED |
| Object | yell leaders |
—
|
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: yell leaders | Statement: [Texas A&M Athletics, hasCheerleadersType, yell leaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheerleadersType Context triple: [Texas A&M Athletics, hasCheerleadersType, yell leaders]
-
A.
hasCheerleaders
Indicates that an entity is associated with or supported by one or more cheerleaders.
-
B.
officialCheerleadersFor
Indicates that one entity serves as the formally recognized cheerleading squad or group supporting another entity, such as a team or organization.
-
C.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
-
D.
supporterType
chosen
Indicates the specific role or category of support a supporter provides in relation to another entity or activity.
-
E.
hasCompanionMascot
Indicates that an entity is accompanied by or associated with a specific mascot serving as its companion.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde2fdcf88190a52e515c166ea8f7 |
completed | March 7, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69abdd059f308190853191f6ffe2bc6f |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.