Triple
T31395615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bose 901 loudspeaker system |
E800855
|
entity |
| Predicate | companySloganAssociation |
P100379
|
FINISHED |
| Object | Better sound through research |
—
|
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: Better sound through research | Statement: [Bose 901 loudspeaker system, companySloganAssociation, Better sound through research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companySloganAssociation Context triple: [Bose 901 loudspeaker system, companySloganAssociation, Better sound through research]
-
A.
sloganUsedBy
chosen
Indicates that a particular slogan is employed or adopted by a specific entity (such as a person, organization, or brand) in its communication or branding.
-
B.
sloganConcept
Indicates that a particular concept, idea, or theme is expressed or represented by a given slogan.
-
C.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
D.
organizationMottoContext
Indicates the contextual relationship between an organization and the motto or slogan associated with it.
-
E.
associatedCompanyCommonName
Indicates that there is a relationship where a company is linked to a commonly used or publicly recognized version of its name.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 29, 2026, 9:19 p.m.