Triple
T12869611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bart Freundlich |
E307811
|
entity |
| Predicate | producerOf |
P490
|
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: [Bart Freundlich, producerOf, The Rebound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Rebound Context triple: [Bart Freundlich, producerOf, 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.
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.
-
C.
Rebound Ace
Rebound Ace is a cushioned hardcourt tennis surface formerly used at the Australian Open before being superseded by Plexicushion.
-
D.
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.
-
E.
The Comeback
The Comeback is an American comedy-drama television series that satirizes reality TV and Hollywood through the story of a fading sitcom actress attempting to revive her career.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708f510c8190b4c64dc340420e85 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8cb31dc8190a0dd03ab600d615c |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:38 p.m.