Triple
T20620519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Step Up |
E506685
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Step Up 2: The Streets |
—
|
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: Step Up 2: The Streets | Statement: [Step Up, followedBy, Step Up 2: The Streets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Step Up 2: The Streets Context triple: [Step Up, followedBy, Step Up 2: The Streets]
-
A.
Step Up 2: The Streets
chosen
Step Up 2: The Streets is a 2008 dance drama film and sequel to Step Up, following a rebellious street dancer who joins an elite arts school and blends street and formal dance styles in a high-energy competition.
-
B.
Step Up 3D
Step Up 3D is a 2010 dance film in the Step Up franchise, known for its elaborate street dance sequences and use of 3D technology.
-
C.
Step Up
Step Up is a 2006 dance-romance film that launched a popular franchise centered on street dance, music, and youth culture.
-
D.
Step Up: High Water
Step Up: High Water is a dance-driven drama television series set in a performing arts school, expanding the Step Up film franchise into serialized storytelling.
-
E.
Step Up All In
Step Up All In is a 2014 dance film in the Step Up franchise that follows a group of dancers competing in a high-stakes Las Vegas contest.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.