Triple
T11668296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icon Comics |
E277309
|
entity |
| Predicate | rightsModel |
P63887
|
FINISHED |
| Object | creator-owned |
—
|
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: creator-owned | Statement: [Icon Comics, rightsModel, creator-owned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rightsModel Context triple: [Icon Comics, rightsModel, creator-owned]
-
A.
rightsManagement
Indicates the management, control, and enforcement of usage rights or permissions associated with an entity or resource.
-
B.
rightsInclude
Indicates that one set of rights encompasses, contains, or subsumes another set of rights.
-
C.
rights
Indicates that an entity possesses entitlements, permissions, or legal/moral claims in relation to another entity or context.
-
D.
rightsConcept
Indicates that there is a conceptual or definitional relationship involving rights, such as the idea, principle, or framework underlying specific rights.
-
E.
rightsCategory
chosen
Indicates the classification or type of rights associated with an entity or relationship.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:39 p.m.