Triple
T16015973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exception |
E388466
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Mark Dexter
Mark Dexter is a British actor known for his work in television, film, and theatre, including roles in series such as "The Crown" and "Ripper Street."
|
E1190264
|
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: Mark Dexter | Statement: [The Exception, castMember, Mark Dexter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Dexter Context triple: [The Exception, castMember, Mark Dexter]
-
A.
Mike Dexter
Mike Dexter is the popular, arrogant high school jock and primary antagonist in the teen comedy film "Can’t Hardly Wait."
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Dexter Redding
Dexter Redding is one of the sons of legendary American soul singer Otis Redding.
-
D.
Malcolm Dixon
Malcolm Dixon was a British actor and dwarf performer best known for his roles in fantasy and science-fiction films of the late 20th century.
-
E.
Mickey Dawson
Mickey Dawson is a fictional character who becomes the kidnapped wife at the center of the darkly comic crime plot in Elmore Leonard’s novel "The Switch" and its film adaptation.
- 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: Mark Dexter Triple: [The Exception, castMember, Mark Dexter]
Generated description
Mark Dexter is a British actor known for his work in television, film, and theatre, including roles in series such as "The Crown" and "Ripper Street."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mark Dexter Target entity description: Mark Dexter is a British actor known for his work in television, film, and theatre, including roles in series such as "The Crown" and "Ripper Street."
-
A.
Mike Dexter
Mike Dexter is the popular, arrogant high school jock and primary antagonist in the teen comedy film "Can’t Hardly Wait."
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Dexter Redding
Dexter Redding is one of the sons of legendary American soul singer Otis Redding.
-
D.
Malcolm Dixon
Malcolm Dixon was a British actor and dwarf performer best known for his roles in fantasy and science-fiction films of the late 20th century.
-
E.
Mickey Dawson
Mickey Dawson is a fictional character who becomes the kidnapped wife at the center of the darkly comic crime plot in Elmore Leonard’s novel "The Switch" and its film adaptation.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18294f6c48190ab9d3eead268f846 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf284fa481909b571d1bf107fca4 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffcfb02b208190b961b525a29b02a5 |
completed | May 10, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd8e7b94c819093bc23288900df33 |
completed | May 10, 2026, 1:01 a.m. |
Created at: April 10, 2026, 4:55 a.m.