Triple
T17910925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SARA |
E447816
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Toonami Absolution |
—
|
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: Toonami Absolution | Statement: [SARA, associatedWith, Toonami Absolution]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toonami Absolution Context triple: [SARA, associatedWith, Toonami Absolution]
-
A.
Toonami
chosen
Toonami is an action-oriented programming block known for airing anime and animated series, originally broadcast on Cartoon Network.
-
B.
Toonfest
Toonfest is an annual cartoon-themed festival held in Marceline, Missouri, celebrating animation, comics, and the town’s connection to Walt Disney.
-
C.
Cartoonito
Cartoonito is a preschool-focused programming block featuring educational and age-appropriate animated content for young children.
-
D.
Cartoon Network Too
Cartoon Network Too was a British television channel that broadcast additional Cartoon Network programming, often focusing on classic and archive animated shows.
-
E.
Animax
Animax is an international Japanese anime television network known for broadcasting a wide range of anime series across multiple regions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.