Triple
T22567863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estate of Robert Indiana |
E557999
|
entity |
| Predicate | controlsCopyrightTo |
P1365
|
FINISHED |
| Object | many works by Robert Indiana |
—
|
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: many works by Robert Indiana | Statement: [Estate of Robert Indiana, controlsCopyrightTo, many works by Robert Indiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsCopyrightTo Context triple: [Estate of Robert Indiana, controlsCopyrightTo, many works by Robert Indiana]
-
A.
copyrightStatus
Indicates the legal protection state of a work, specifying whether and how it is covered by copyright.
-
B.
rightsManagement
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
-
C.
copyrightHolderUniverse
Indicates that one entity is the legal copyright holder for works within a specified universe or fictional setting.
-
D.
administersCopyrightFor
Indicates that one entity is responsible for managing and enforcing copyright on behalf of another entity or work.
-
E.
hasCopyrightHolder
chosen
Indicates that a specified entity holds the legal copyright ownership or rights over another entity.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fabb9f081908c33c8e2ddf18047 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:52 p.m.