Triple
T15382550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E for Everyone |
E367838
|
entity |
| Predicate | contentMayInclude |
P1393
|
FINISHED |
| Object | minimal cartoon violence |
—
|
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: minimal cartoon violence | Statement: [E for Everyone, contentMayInclude, minimal cartoon violence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentMayInclude Context triple: [E for Everyone, contentMayInclude, minimal cartoon violence]
-
A.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
-
B.
containsNonLegalMaterial
Indicates that something includes content that is not legal in nature, such as informal, non-regulatory, or non-statutory material.
-
C.
contentAccess
Indicates that one entity is permitted to retrieve, view, or otherwise use the content provided or controlled by another entity.
-
D.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
mediumIncludes
Indicates that a given medium contains, encompasses, or incorporates another item, component, or element within it.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e61928c81908852c355d537ed9c |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.