Triple
T23374219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynn Whitfield |
E593560
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Rebound |
E1007763
|
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: The Rebound | Statement: [Lynn Whitfield, notableWork, The Rebound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rebound Context triple: [Lynn Whitfield, notableWork, The Rebound]
-
A.
The Rebound
chosen
The Rebound is a 2009 romantic comedy film starring Catherine Zeta-Jones and Justin Bartha about an unexpected relationship between a newly divorced mother and her younger babysitter.
-
B.
The Bounceback
The Bounceback is an independent romantic comedy film directed by Bryan Poyser, known for its Austin, Texas setting and its exploration of modern relationships and post-breakup rebound dynamics.
-
C.
Rebound
Rebound is a 2005 sports comedy film starring Martin Lawrence as a disgraced college basketball coach who must redeem himself by leading a misfit middle school team.
-
D.
Rebound Ace
Rebound Ace is a cushioned hardcourt tennis surface formerly used at the Australian Open before being superseded by Plexicushion.
-
E.
The Comeback
The Comeback is a nonfiction book by A. J. Baime that chronicles a pivotal, against-the-odds resurgence in American automotive and industrial history.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b1d24881909945936cbf00876e |
completed | April 29, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5ddfbbf0819098166b60f5e5e62e |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 5:33 p.m.