Triple
T4257489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Briggs |
E96012
|
entity |
| Predicate | promotedCatchphrase |
P53722
|
FINISHED |
| Object | "Let’s go champ" as motivational slogan |
—
|
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: "Let’s go champ" as motivational slogan | Statement: [Shannon Briggs, promotedCatchphrase, "Let’s go champ" as motivational slogan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promotedCatchphrase Context triple: [Shannon Briggs, promotedCatchphrase, "Let’s go champ" as motivational slogan]
-
A.
featuresCatchphrase
chosen
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
B.
promotionGimmick
Indicates a relationship where something is used as a special tactic or device to attract attention or boost interest in a promotion.
-
C.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
D.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
-
E.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec321008190b2cc1aca6ab690c4 |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.