Triple
T25917847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make It Shine |
E653080
|
entity |
| Predicate | associatedTelevisionSeries |
P98553
|
FINISHED |
| Object | Victorious |
—
|
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: Victorious | Statement: [Make It Shine, associatedTelevisionSeries, Victorious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTelevisionSeries Context triple: [Make It Shine, associatedTelevisionSeries, Victorious]
-
A.
hasAssociatedTVSeries
Indicates that one entity is linked to another entity that is a related or derived television series.
-
B.
associatedShow
chosen
Indicates a relationship where one entity is linked or connected to a particular show (e.g., as its subject, source, or related program).
-
C.
hasTVSeriesAdaptation
Indicates that a work has been adapted into a television series.
-
D.
associatedShowType
Indicates a relationship where one entity is linked to the type or category of show with which it is associated.
-
E.
associatedCatalogSeries
Indicates that one entity is linked to a catalog series with which it is grouped, classified, or otherwise contextually connected.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fe21b0cba48190b56c39e9f1c0eafa |
completed | May 8, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69fe204576848190aecf204e2adba5dc |
completed | May 8, 2026, 5:41 p.m. |
Created at: April 22, 2026, 8:31 a.m.