Triple
T15971712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jurnee Smollett-Bell |
E387339
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Roll Bounce |
E140714
|
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: Roll Bounce | Statement: [Jurnee Smollett-Bell, notableWork, Roll Bounce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roll Bounce Context triple: [Jurnee Smollett-Bell, notableWork, Roll Bounce]
-
A.
Roll Bounce
chosen
Roll Bounce is a 2005 coming-of-age comedy-drama film centered on 1970s roller disco culture and teenage friendships.
-
B.
Bounce
Bounce is a character associated with the "Woman of Steel" universe, likely serving as a dynamic, action-oriented counterpart or ally distinguished by agility and resilience.
-
C.
Bounce
"Bounce" is a song best known as a single by the artist Woman of Steel, accompanied by an official music video.
-
D.
Bounce
"Bounce" is a high-energy electronic dance track by LMFAO known for its party anthem style and club-ready beat.
-
E.
Bounce
"Bounce" is a popular electro house track by Canadian electronic music duo MSTRKRFT, known for its heavy synths and club-oriented energy.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe8afa288190838cb35b8a4fcf50 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.