Triple
T11541243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylanders series |
E273679
|
entity |
| Predicate | Skylanders Academy |
P99606
|
FINISHED |
| Object | distributedBy Netflix |
—
|
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: distributedBy Netflix | Statement: [Skylanders series, Skylanders Academy, distributedBy Netflix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Skylanders Academy Context triple: [Skylanders series, Skylanders Academy, distributedBy Netflix]
-
A.
SMASH Academy
Indicates a relationship where an entity is associated with or belongs to SMASH Academy, typically as a participant, member, or affiliate of that program or institution.
-
B.
Waterline
Indicates the level or line on an object or surface that marks where water reaches or has reached.
-
C.
MacMeans
Indicates that one entity serves as the meaning, definition, or semantic interpretation of another entity.
-
D.
Inside Out Project
Indicates a relationship where an initiative or action turns internal perspectives, stories, or issues outward into public, visible expression or engagement.
-
E.
שייך ללוח
Indicates that something belongs to or is associated with a particular board.
- F. None of above. chosen
Provenance (4 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.