Triple
T14174100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Best Man |
E351287
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
F. Aaron Greenberg
F. Aaron Greenberg is a film editor known for his work on the movie "The Best Man."
|
E1083559
|
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: F. Aaron Greenberg | Statement: [The Best Man, editedBy, F. Aaron Greenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F. Aaron Greenberg Context triple: [The Best Man, editedBy, F. Aaron Greenberg]
-
A.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
B.
Jeffrey Greenstein
Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
-
C.
Kenny Greenberg
Kenny Greenberg is an American guitarist and record producer known for his extensive work in country and rock music with numerous high-profile artists.
-
D.
Steve Greenberg
Steve Greenberg is an American sports media executive and entrepreneur best known for founding the Classic Sports Network, which later became ESPN Classic.
-
E.
Robbie Greenberg
Robbie Greenberg is an American cinematographer known for his work on feature films and television, including the family adventure movie "Free Willy."
- 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: F. Aaron Greenberg Triple: [The Best Man, editedBy, F. Aaron Greenberg]
Generated description
F. Aaron Greenberg is a film editor known for his work on the movie "The Best Man."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F. Aaron Greenberg Target entity description: F. Aaron Greenberg is a film editor known for his work on the movie "The Best Man."
-
A.
Marc Greenberg
Marc Greenberg is a film producer known for his work on the Pixar short film "The Blue Umbrella."
-
B.
Jeffrey Greenstein
Jeffrey Greenstein is a film producer known for his work on action and genre movies, including the war drama "The Outpost."
-
C.
Kenny Greenberg
Kenny Greenberg is an American guitarist and record producer known for his extensive work in country and rock music with numerous high-profile artists.
-
D.
Steve Greenberg
Steve Greenberg is an American sports media executive and entrepreneur best known for founding the Classic Sports Network, which later became ESPN Classic.
-
E.
Robbie Greenberg
Robbie Greenberg is an American cinematographer known for his work on feature films and television, including the family adventure movie "Free Willy."
- 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_69fcf80a9b34819081c4ebf7429e875a |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd03511f048190a9f1eea0e37aef31 |
completed | May 7, 2026, 9:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0406a770819082aeec43037f1243 |
completed | May 7, 2026, 9:28 p.m. |
Created at: April 10, 2026, 1:01 a.m.