Triple
T9015654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cutting Edge |
E215586
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Chris Benson
Chris Benson is an actor known for his role in the romantic sports film "The Cutting Edge."
|
E773060
|
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: Chris Benson | Statement: [The Cutting Edge, castMember, Chris Benson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Benson Context triple: [The Cutting Edge, castMember, Chris Benson]
-
A.
Nick Benson
Nick Benson is an American stone carver and designer renowned for his architectural inscriptions and memorial engravings, including work on major national monuments.
-
B.
Howard Benson
Howard Benson is a Grammy-nominated American record producer known for his work with prominent rock and pop artists such as My Chemical Romance, Daughtry, and Kelly Clarkson.
-
C.
Kent Benson
Kent Benson is a former American basketball player best known as an All-American center at Indiana University and the first overall pick in the 1977 NBA Draft.
-
D.
Guy Bensley
Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
-
E.
Doug Benson
Doug Benson is an American stand-up comedian, actor, and podcast host best known for his marijuana-themed humor and the podcast "Doug Loves Movies."
- 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: Chris Benson Triple: [The Cutting Edge, castMember, Chris Benson]
Generated description
Chris Benson is an actor known for his role in the romantic sports film "The Cutting Edge."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Benson Target entity description: Chris Benson is an actor known for his role in the romantic sports film "The Cutting Edge."
-
A.
Nick Benson
Nick Benson is an American stone carver and designer renowned for his architectural inscriptions and memorial engravings, including work on major national monuments.
-
B.
Howard Benson
Howard Benson is a Grammy-nominated American record producer known for his work with prominent rock and pop artists such as My Chemical Romance, Daughtry, and Kelly Clarkson.
-
C.
Kent Benson
Kent Benson is a former American basketball player best known as an All-American center at Indiana University and the first overall pick in the 1977 NBA Draft.
-
D.
Guy Bensley
Guy Bensley is a film editor best known for his work on the comedy spy film "Johnny English Reborn."
-
E.
Doug Benson
Doug Benson is an American stand-up comedian, actor, and podcast host best known for his marijuana-themed humor and the podcast "Doug Loves Movies."
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fc0e4c819080b60456375f94cd |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba8bd8c81909860d561d9d16611 |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdcae0e5c81909c50a0b53c1cf7cc |
completed | April 3, 2026, 3:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdd6a2ba481908d66fed8f05a1297 |
completed | April 3, 2026, 3:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.