Triple
T12840281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salton, Inc. |
E307029
|
entity |
| Predicate | usesLicensing |
P50497
|
FINISHED |
| Object | celebrity name licensing |
—
|
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: celebrity name licensing | Statement: [Salton, Inc., usesLicensing, celebrity name licensing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLicensing Context triple: [Salton, Inc., usesLicensing, celebrity name licensing]
-
A.
usesLicensingModel
chosen
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
-
B.
hasLicensing
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
-
C.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
-
D.
supportsLicense
Indicates that one entity is compatible with, enables, or is configured to work under a specified license.
-
E.
requiresLicenseFrom
Indicates that one entity must obtain formal permission or authorization from another entity before performing a specific activity or operation.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:35 p.m.