Triple
T15711582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Shum Jr. |
E380850
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Step Up 3D |
E378768
|
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: Step Up 3D | Statement: [Harry Shum Jr., appearedIn, Step Up 3D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Step Up 3D Context triple: [Harry Shum Jr., appearedIn, Step Up 3D]
-
A.
Step Up 3D
chosen
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.
-
B.
Step Up 2: The Streets
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.
-
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 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.
-
E.
Step Up 4: Miami Heat
Step Up 4: Miami Heat is a 2012 dance film set in Miami that follows a group of flash-mob performers fighting to save their neighborhood through elaborate, high-energy dance routines.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8f5d6081908243fa59b46b7c76 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff82f22fc88190820ecb171041136d |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:45 a.m.