Triple
T19868124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang streaming service (U.S.) |
E477442
|
entity |
| Predicate | contentLibraryIncludes |
P123276
|
FINISHED |
| Object | classic cartoons |
—
|
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: classic cartoons | Statement: [Boomerang streaming service (U.S.), contentLibraryIncludes, classic cartoons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentLibraryIncludes Context triple: [Boomerang streaming service (U.S.), contentLibraryIncludes, classic cartoons]
-
A.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
B.
textsIncludedIn
Indicates that certain texts are contained within, or form a subset of, a larger collection or body of texts.
-
C.
contentAccess
Indicates that one entity is permitted to retrieve, view, or otherwise use the content provided or controlled by another entity.
-
D.
catalogueIncludes
chosen
Indicates that a catalogue contains or lists a particular item as part of its contents.
-
E.
courseIncludes
Indicates that a course contains or covers a particular component, such as a topic, module, lesson, or resource.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658a0a7288190a82b85e3ae056d6b |
completed | April 20, 2026, 4:47 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.