Triple
T22462080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beefeater Gin |
E555253
|
entity |
| Predicate | hasIconicBrandingElement |
P48662
|
FINISHED |
| Object | red-coated Beefeater guard |
—
|
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: red-coated Beefeater guard | Statement: [Beefeater Gin, hasIconicBrandingElement, red-coated Beefeater guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIconicBrandingElement Context triple: [Beefeater Gin, hasIconicBrandingElement, red-coated Beefeater guard]
-
A.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
B.
hasBrandIdentityElement
chosen
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.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
D.
hasInsigniaComponent
Indicates that an entity includes, bears, or is composed of a particular insignia or emblem as one of its components.
-
E.
hasMarketingIcon
Indicates that an entity is associated with, or represented by, a specific marketing-related icon or symbol.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.