Triple
T10366240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croupier |
E244257
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Nick Reding
Nick Reding is a British actor known for his work in film, television, and theatre, including a role in the crime drama "Croupier."
|
E857423
|
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: Nick Reding | Statement: [Croupier, starring, Nick Reding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Reding Context triple: [Croupier, starring, Nick Reding]
-
A.
Gene Redd
Gene Redd was an American songwriter and record producer known for his work in R&B and soul music, including co-writing the holiday classic "Please Come Home for Christmas."
-
B.
Keith Redmon
Keith Redmon is a film producer known for his work on projects such as the drama film "The Beaver."
-
C.
John Redmann
John Redmann is a television producer best known for his work as an executive producer on popular daytime talk shows.
-
D.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
-
E.
Mark Redhead
Mark Redhead is a British television and film producer known for his work on acclaimed dramas and biographical films.
- 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: Nick Reding Triple: [Croupier, starring, Nick Reding]
Generated description
Nick Reding is a British actor known for his work in film, television, and theatre, including a role in the crime drama "Croupier."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Reding Target entity description: Nick Reding is a British actor known for his work in film, television, and theatre, including a role in the crime drama "Croupier."
-
A.
Gene Redd
Gene Redd was an American songwriter and record producer known for his work in R&B and soul music, including co-writing the holiday classic "Please Come Home for Christmas."
-
B.
Keith Redmon
Keith Redmon is a film producer known for his work on projects such as the drama film "The Beaver."
-
C.
John Redmann
John Redmann is a television producer best known for his work as an executive producer on popular daytime talk shows.
-
D.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
-
E.
Mark Redhead
Mark Redhead is a British television and film producer known for his work on acclaimed dramas and biographical films.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_69d751ab890c8190b1549619049dab91 |
completed | April 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7619e97588190a1443f9438c6efc0 |
completed | April 9, 2026, 8:21 a.m. |
Created at: April 6, 2026, noon