Triple
T6530247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call (2013 film) |
E152212
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Jeff Graup
Jeff Graup is a film producer best known for his work on the 2013 thriller "The Call."
|
E637399
|
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: Jeff Graup | Statement: [The Call (2013 film), producer, Jeff Graup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Graup Context triple: [The Call (2013 film), producer, Jeff Graup]
-
A.
Gary Grubbs
Gary Grubbs is an American character actor known for his extensive work in film and television, often appearing in supporting roles across dramas and comedies.
-
B.
James Walter Grau
James Walter Grau is an American television producer and executive known for his work in broadcast media and his marriage to Elizabeth Trump Grau, sister of former U.S. President Donald Trump.
-
C.
Jeff Groth
Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
-
D.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
E.
Joe Glauberg
Joe Glauberg is a television writer and producer best known for his work on the hit sitcom *Mork & Mindy*.
- 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: Jeff Graup Triple: [The Call (2013 film), producer, Jeff Graup]
Generated description
Jeff Graup is a film producer best known for his work on the 2013 thriller "The Call."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeff Graup Target entity description: Jeff Graup is a film producer best known for his work on the 2013 thriller "The Call."
-
A.
Gary Grubbs
Gary Grubbs is an American character actor known for his extensive work in film and television, often appearing in supporting roles across dramas and comedies.
-
B.
James Walter Grau
James Walter Grau is an American television producer and executive known for his work in broadcast media and his marriage to Elizabeth Trump Grau, sister of former U.S. President Donald Trump.
-
C.
Jeff Groth
Jeff Groth is a film editor best known for his work on the critically acclaimed 2019 psychological thriller "Joker."
-
D.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
E.
Joe Glauberg
Joe Glauberg is a television writer and producer best known for his work on the hit sitcom *Mork & Mindy*.
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77518ecf08190825f64b47d575fba |
completed | March 28, 2026, 6:28 a.m. |
| NEDg | Description generation | batch_69c77725eeb881909433ec7318c0dcca |
completed | March 28, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77768aa6c81909b6cf5c62780bb8d |
completed | March 28, 2026, 6:38 a.m. |
Created at: March 27, 2026, 1:46 p.m.