Triple
T27640159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Religious Technology Center |
E696566
|
entity |
| Predicate | controlsCopyright |
P80508
|
FINISHED |
| Object | L. Ron Hubbard Scientology materials |
—
|
NE NERFINISHED |
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: L. Ron Hubbard Scientology materials | Statement: [Religious Technology Center, controlsCopyright, L. Ron Hubbard Scientology materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsCopyright Context triple: [Religious Technology Center, controlsCopyright, L. Ron Hubbard Scientology materials]
-
A.
copyrightModel
Indicates that one entity serves as the copyright or licensing model that governs the use, distribution, or protection of another entity.
-
B.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
C.
rightsManagement
chosen
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
-
D.
copyrightCategory
Indicates the classification of an item according to its copyright status or type of copyright protection.
-
E.
copyrightHolderUniverse
Indicates that one entity is the legal copyright holder for works within a specified universe or fictional setting.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 2:26 p.m.