Triple
T7828893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Klaw |
E181314
|
entity |
| Predicate | usedInBranding |
P12411
|
FINISHED |
| Object | Kawhi Leonard’s personal brand |
—
|
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: Kawhi Leonard’s personal brand | Statement: [The Klaw, usedInBranding, Kawhi Leonard’s personal brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInBranding Context triple: [The Klaw, usedInBranding, Kawhi Leonard’s personal brand]
-
A.
usedInBrand
chosen
Indicates that something (such as a component, material, or element) is utilized as part of or within a particular brand.
-
B.
logoUsedIn
Indicates that a particular logo is employed or displayed within a specified context, medium, or artifact.
-
C.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
D.
usesBrandCharacter
Indicates that one entity employs or features another entity’s brand character (such as a mascot or branded persona) in its materials, products, or communications.
-
E.
usedBrand
Indicates that an entity has utilized, applied, or operated a particular brand in some context.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04aaed1881908e1da129a43ef9c7 |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:44 p.m.