Triple
T1225757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Cannon |
E26322
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Roll Bounce
Roll Bounce is a 2005 coming-of-age comedy-drama film centered on 1970s roller disco culture and teenage friendships.
|
E140714
|
NE FINISHED |
How this triple was built (4 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: Roll Bounce | Statement: [Nick Cannon, notableWork, Roll Bounce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roll Bounce Context triple: [Nick Cannon, notableWork, Roll Bounce]
-
A.
Bouncing Off the Wall
"Bouncing Off the Wall" is a song by the American punk rock band Green Day from their album "Revolution Radio."
-
B.
Stop Drop and Roll!!!
Stop Drop and Roll!!! is a garage rock–style studio album by the Foxboro Hot Tubs, a side project of the American rock band Green Day.
-
C.
Rollin’
"Rollin’" is the 1967 debut studio album by the country-rock band The First Edition, featuring a blend of rock, pop, and country influences.
-
D.
Boomerang!
Boomerang! is a 1947 American film noir crime drama noted for its semi-documentary style and exploration of a real-life wrongful murder accusation.
-
E.
Boomerang
Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Roll Bounce Triple: [Nick Cannon, notableWork, Roll Bounce]
Generated description
Roll Bounce is a 2005 coming-of-age comedy-drama film centered on 1970s roller disco culture and teenage friendships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roll Bounce Target entity description: Roll Bounce is a 2005 coming-of-age comedy-drama film centered on 1970s roller disco culture and teenage friendships.
-
A.
Bouncing Off the Wall
"Bouncing Off the Wall" is a song by the American punk rock band Green Day from their album "Revolution Radio."
-
B.
Stop Drop and Roll!!!
Stop Drop and Roll!!! is a garage rock–style studio album by the Foxboro Hot Tubs, a side project of the American rock band Green Day.
-
C.
Rollin’
"Rollin’" is the 1967 debut studio album by the country-rock band The First Edition, featuring a blend of rock, pop, and country influences.
-
D.
Boomerang!
Boomerang! is a 1947 American film noir crime drama noted for its semi-documentary style and exploration of a real-life wrongful murder accusation.
-
E.
Boomerang
Boomerang is a television network known for airing classic and contemporary animated programming, particularly cartoons from the Warner Bros. and Hanna-Barbera libraries.
- F. None of above. chosen
Provenance (5 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a0fcf508190be3668bd55f6f6d6 |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8ab214c48190a60c6604a67f9cf2 |
completed | March 7, 2026, 8:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8b0db83c81909db3c501a435f1d1 |
completed | March 7, 2026, 8:31 p.m. |
Created at: March 1, 2026, 7:47 p.m.