Triple
T21093778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think BIG |
E519705
|
entity |
| Predicate | brandIdentityReflects |
P142823
|
FINISHED |
| Object | ambition |
—
|
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: ambition | Statement: [Think BIG, brandIdentityReflects, ambition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandIdentityReflects Context triple: [Think BIG, brandIdentityReflects, ambition]
-
A.
brandingAuthority
Indicates that one entity has the recognized power or right to define, control, or approve the branding (name, logo, identity, or brand usage) of another entity or product.
-
B.
hasBrandIdentityElement
Indicates that an entity includes or is associated with a specific component of its overall brand identity (such as a logo, color scheme, or tagline).
-
C.
maintainsBrandIdentityOf
Indicates that one entity preserves, protects, or upholds the established brand identity of another entity.
-
D.
brandingLevel
Indicates the degree or intensity of branding applied or associated with an entity (e.g., product, service, or organization).
-
E.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
- F. None of above. chosen
Provenance (4 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e709517a18819081ede1d38e2c4391 |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:51 p.m.