Triple
T18762634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halle Brown |
E458809
|
entity |
| Predicate | hasLicensingConstraint |
P81697
|
FINISHED |
| Object | no special rights required to use as an example name |
—
|
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: no special rights required to use as an example name | Statement: [Halle Brown, hasLicensingConstraint, no special rights required to use as an example name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLicensingConstraint Context triple: [Halle Brown, hasLicensingConstraint, no special rights required to use as an example name]
-
A.
hasLicensing
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
-
B.
licensingRestriction
chosen
Indicates that there is a constraint or condition imposed on the use, distribution, or modification of something under a specific license.
-
C.
licenseEnforced
Indicates that a license’s terms or restrictions are actively applied and upheld in relation to the associated entity or activity.
-
D.
usesLicensingModel
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
-
E.
requiresLicenseOf
Indicates that one entity must obtain or hold the license associated with another entity in order to use, access, or perform something.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d0b7b708190877951b6e6cdcbc4 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.