Triple
T7289062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victorious |
E163945
|
entity |
| Predicate | openingTheme |
P2759
|
FINISHED |
| Object | Make It Shine |
E653080
|
NE 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: Make It Shine | Statement: [Victorious, openingTheme, Make It Shine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make It Shine Context triple: [Victorious, openingTheme, Make It Shine]
-
A.
Make It Shine
chosen
"Make It Shine" is the upbeat pop song performed by Victoria Justice that serves as the main theme for the Nickelodeon teen sitcom *Victorious*.
-
B.
Get Your Shine On
"Get Your Shine On" is a popular country song by the duo Florida Georgia Line, known for its upbeat, party-themed lyrics and catchy, radio-friendly sound.
-
C.
Shine Through It
Shine Through It is an R&B-influenced studio album by American actor and musician Terrence Howard, showcasing his songwriting and vocal abilities.
-
D.
Something Shines
"Something Shines" is a solo studio album by French musician Laetitia Sadier, known for its atmospheric blend of avant-pop, indie, and politically tinged lyrics.
-
E.
Till It Shines
"Till It Shines" is a song by Bob Seger featured on his 1978 album "Stranger in Town."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6bde448190b52852c916a8059d |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53ab41c8190b081e90fa6a1145c |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.