Triple
T30382859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koyoharu Gotouge |
E772874
|
entity |
| Predicate | workLicensedBy |
P146942
|
FINISHED |
| Object | VIZ Media |
—
|
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: VIZ Media | Statement: [Koyoharu Gotouge, workLicensedBy, VIZ Media]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLicensedBy Context triple: [Koyoharu Gotouge, workLicensedBy, VIZ Media]
-
A.
oftenLicensedUnder
Indicates that an entity is frequently or commonly granted rights or permissions under a specified license.
-
B.
licensorOf
Indicates that one entity grants another entity permission or rights to use, produce, or distribute something under specified terms.
-
C.
licensesWorksBy
chosen
Indicates that one entity grants legal permission for the use or exploitation of works created by another entity.
-
D.
licenseBuiltBy
Indicates that a license was created, issued, or constructed by a specific agent or organization.
-
E.
operatedUnderLicenseFrom
Indicates that one entity conducts its activities or uses certain rights with formal permission granted by another entity that holds the original authority or ownership.
- 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6851c44108190822e8d70e1114e09 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:01 p.m.