Triple
T14173644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premium Rush |
E351275
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Derek Ambrosi
Derek Ambrosi is a film editor best known for his work on the action-thriller movie "Premium Rush."
|
E1172582
|
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: Derek Ambrosi | Statement: [Premium Rush, editedBy, Derek Ambrosi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Ambrosi Context triple: [Premium Rush, editedBy, Derek Ambrosi]
-
A.
Andy Robustelli
Andy Robustelli was a Hall of Fame defensive end best known for his dominant play with the New York Giants during the 1950s and early 1960s.
-
B.
Chris D'Arienzo
Chris D'Arienzo is an American writer and director best known for creating and writing the jukebox musical "Rock of Ages" and its film adaptation.
-
C.
Charlie DeMarco
Charlie DeMarco is a fictional character portrayed by Vanessa Ferlito, best known as one of the central figures in the crime drama series "Graceland."
-
D.
Anthony Marentino
Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
-
E.
Matt DeRoss
Matt DeRoss is a film producer best known for his work on the critically acclaimed drama "The End of the Tour."
- 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: Derek Ambrosi Triple: [Premium Rush, editedBy, Derek Ambrosi]
Generated description
Derek Ambrosi is a film editor best known for his work on the action-thriller movie "Premium Rush."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derek Ambrosi Target entity description: Derek Ambrosi is a film editor best known for his work on the action-thriller movie "Premium Rush."
-
A.
Andy Robustelli
Andy Robustelli was a Hall of Fame defensive end best known for his dominant play with the New York Giants during the 1950s and early 1960s.
-
B.
Chris D'Arienzo
Chris D'Arienzo is an American writer and director best known for creating and writing the jukebox musical "Rock of Ages" and its film adaptation.
-
C.
Charlie DeMarco
Charlie DeMarco is a fictional character portrayed by Vanessa Ferlito, best known as one of the central figures in the crime drama series "Graceland."
-
D.
Anthony Marentino
Anthony Marentino is a flamboyant, quick-witted wedding planner and stylist best known as Charlotte York’s close friend and eventual husband on the television series "Sex and the City."
-
E.
Matt DeRoss
Matt DeRoss is a film producer best known for his work on the critically acclaimed drama "The End of the Tour."
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b7cc3081909f4fa371e1eae130 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
| NEDg | Description generation | batch_69ff77d4884c81909d43e590d406feff |
completed | May 9, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff780af73c81909a98f67bd53f7348 |
completed | May 9, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:01 a.m.