Triple
T2651504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny English Reborn |
E53908
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Guy Bensley
Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
|
E304842
|
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: Guy Bensley | Statement: [Johnny English Reborn, editedBy, Guy Bensley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Bensley Context triple: [Johnny English Reborn, editedBy, Guy Bensley]
-
A.
Christopher Benstead
Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
-
B.
Andrew Bennison
Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
-
C.
Sam Baldwin
Sam Baldwin is the widowed architect and devoted father portrayed by Tom Hanks in the romantic comedy film "Sleepless in Seattle."
-
D.
Stephen Burbank
Stephen Burbank is a prominent legal scholar and professor known for his expertise in civil procedure and complex litigation at the University of Pennsylvania Law School.
-
E.
Eric Bates
Eric Bates is the young, wealthy boy in the 1982 comedy film "The Toy" who whimsically "purchases" a man as his personal companion, driving much of the movie’s plot and humor.
- 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: Guy Bensley Triple: [Johnny English Reborn, editedBy, Guy Bensley]
Generated description
Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guy Bensley Target entity description: Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
-
A.
Christopher Benstead
Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
-
B.
Andrew Bennison
Andrew Bennison was an American screenwriter active during the early sound era of Hollywood cinema.
-
C.
Sam Baldwin
Sam Baldwin is the widowed architect and devoted father portrayed by Tom Hanks in the romantic comedy film "Sleepless in Seattle."
-
D.
Stephen Burbank
Stephen Burbank is a prominent legal scholar and professor known for his expertise in civil procedure and complex litigation at the University of Pennsylvania Law School.
-
E.
Eric Bates
Eric Bates is the young, wealthy boy in the 1982 comedy film "The Toy" who whimsically "purchases" a man as his personal companion, driving much of the movie’s plot and humor.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd93071248190820197936e3167f7 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d3d6a54819090068ef1807ca921 |
completed | March 10, 2026, 1:31 p.m. |
| NEDg | Description generation | batch_69b01f73ff708190924f6e12d5688cc7 |
completed | March 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b020fe69b881909b576a5321126a7c |
completed | March 10, 2026, 1:47 p.m. |
Created at: March 6, 2026, 9:53 p.m.