Triple
T27994080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WildBrain |
E706958
|
entity |
| Predicate | distributesContent |
P156076
|
FINISHED |
| Object | television series |
—
|
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: television series | Statement: [WildBrain, distributesContent, television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributesContent Context triple: [WildBrain, distributesContent, television series]
-
A.
distributesContentTo
Indicates that one entity delivers or makes content available to another entity or set of entities.
-
B.
distributesIn
Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
-
C.
mediaDistribution
chosen
Indicates the relationship by which media content is delivered, shared, or made available from a source to one or more recipients or channels.
-
D.
publishesContent
Indicates that one entity makes content created by another entity publicly available or distributed through some medium.
-
E.
distributesAs
Indicates that one entity allocates or hands out something (such as resources, items, or information) to multiple other entities according to some plan or rule.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6645ba71c81908044ade6ab577018 |
completed | May 2, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 7:52 p.m.