Triple
T20620507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Step Up |
E506685
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jenna Dewan |
—
|
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: Jenna Dewan | Statement: [Step Up, starring, Jenna Dewan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenna Dewan Context triple: [Step Up, starring, Jenna Dewan]
-
A.
Jenna Dewan
chosen
Jenna Dewan is an American actress and dancer best known for her breakout role in the film "Step Up" and her work in television series such as "Witches of East End."
-
B.
Laura Marano
Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
-
C.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
-
D.
Joy Gorman Wettels
Joy Gorman Wettels is a television and film producer best known for her work on the Netflix drama series "Thirteen Reasons Why."
-
E.
Jenna McMahon
Jenna McMahon was an American television writer and producer best known for co-creating popular sitcoms such as "The Facts of Life" and "Mama's Family."
- 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.