Triple
T6222381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Be Kind Rewind |
E139145
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object |
Jack Black as Jerry
Jack Black as Jerry is the energetic, accident-prone video store employee in the comedy film "Be Kind Rewind," whose mishaps lead to the creation of homemade remakes of classic movies.
|
E577729
|
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: Jack Black as Jerry | Statement: [Be Kind Rewind, characterPortrayed, Jack Black as Jerry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Black as Jerry Context triple: [Be Kind Rewind, characterPortrayed, Jack Black as Jerry]
-
A.
Chris Tucker as Danny McDaniels
Chris Tucker as Danny McDaniels is a supporting character in the film "Silver Linings Playbook," portrayed as the eccentric and fast-talking friend of the protagonist who provides comic relief and emotional support.
-
B.
Ben Stiller as David Starsky
Ben Stiller as David Starsky refers to Stiller’s comedic portrayal of the energetic, streetwise detective David Starsky in the 2004 film adaptation of the classic TV series "Starsky & Hutch."
-
C.
Bill Murray as Carl Spackler
Bill Murray as Carl Spackler is the eccentric, mumbling, gopher-obsessed groundskeeper whose absurd antics and improvised monologues became the comedic highlight of the film.
-
D.
Will Ferrell as Nick Halsey
Will Ferrell as Nick Halsey is the down-on-his-luck, recently fired and separated suburban salesman at the center of the dramedy "Everything Must Go," whose life unravels as he holds a yard sale on his front lawn.
-
E.
Adam Sandler as Danny Meyerowitz
Adam Sandler as Danny Meyerowitz is a middle-aged, emotionally frustrated son in Noah Baumbach’s dramedy "The Meyerowitz Stories," showcasing Sandler in a more subdued, dramatic role than his typical comedic performances.
- 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: Jack Black as Jerry Triple: [Be Kind Rewind, characterPortrayed, Jack Black as Jerry]
Generated description
Jack Black as Jerry is the energetic, accident-prone video store employee in the comedy film "Be Kind Rewind," whose mishaps lead to the creation of homemade remakes of classic movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Black as Jerry Target entity description: Jack Black as Jerry is the energetic, accident-prone video store employee in the comedy film "Be Kind Rewind," whose mishaps lead to the creation of homemade remakes of classic movies.
-
A.
Chris Tucker as Danny McDaniels
Chris Tucker as Danny McDaniels is a supporting character in the film "Silver Linings Playbook," portrayed as the eccentric and fast-talking friend of the protagonist who provides comic relief and emotional support.
-
B.
Ben Stiller as David Starsky
Ben Stiller as David Starsky refers to Stiller’s comedic portrayal of the energetic, streetwise detective David Starsky in the 2004 film adaptation of the classic TV series "Starsky & Hutch."
-
C.
Bill Murray as Carl Spackler
Bill Murray as Carl Spackler is the eccentric, mumbling, gopher-obsessed groundskeeper whose absurd antics and improvised monologues became the comedic highlight of the film.
-
D.
Will Ferrell as Nick Halsey
Will Ferrell as Nick Halsey is the down-on-his-luck, recently fired and separated suburban salesman at the center of the dramedy "Everything Must Go," whose life unravels as he holds a yard sale on his front lawn.
-
E.
Adam Sandler as Danny Meyerowitz
Adam Sandler as Danny Meyerowitz is a middle-aged, emotionally frustrated son in Noah Baumbach’s dramedy "The Meyerowitz Stories," showcasing Sandler in a more subdued, dramatic role than his typical comedic performances.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062bddb688190add53172a7445d01 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20dcc5e788190a510cac6bbad4830 |
completed | March 24, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69c21498cfc0819097d1fa9cb10f7a92 |
completed | March 24, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c215689f288190a54fb3fc7984455a |
completed | March 24, 2026, 4:39 a.m. |
Created at: March 22, 2026, 4:22 p.m.