Triple
T17067664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inside Amy Schumer |
E414129
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Kyle Dunnigan
Kyle Dunnigan is an American comedian, actor, and writer known for his sketch work, stand-up, and frequent collaborations with Amy Schumer.
|
E1270315
|
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: Kyle Dunnigan | Statement: [Inside Amy Schumer, hasCastMember, Kyle Dunnigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Dunnigan Context triple: [Inside Amy Schumer, hasCastMember, Kyle Dunnigan]
-
A.
Matt Barr
Matt Barr is an American actor known for his roles in television series such as "Hatfields & McCoys," "One Tree Hill," and "Valor."
-
B.
Eric Bauza
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
-
C.
Greg Sanders
Greg Sanders is a quirky, music-loving forensic scientist who evolves from a DNA lab technician to a field investigator on the TV series CSI: Crime Scene Investigation.
-
D.
Adam Pally
Adam Pally is an American actor and comedian best known for his roles on the TV series "Happy Endings" and "The Mindy Project."
-
E.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
- 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: Kyle Dunnigan Triple: [Inside Amy Schumer, hasCastMember, Kyle Dunnigan]
Generated description
Kyle Dunnigan is an American comedian, actor, and writer known for his sketch work, stand-up, and frequent collaborations with Amy Schumer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyle Dunnigan Target entity description: Kyle Dunnigan is an American comedian, actor, and writer known for his sketch work, stand-up, and frequent collaborations with Amy Schumer.
-
A.
Matt Barr
Matt Barr is an American actor known for his roles in television series such as "Hatfields & McCoys," "One Tree Hill," and "Valor."
-
B.
Eric Bauza
Eric Bauza is a Canadian voice actor and comedian best known for portraying iconic animated characters in modern Looney Tunes productions.
-
C.
Greg Sanders
Greg Sanders is a quirky, music-loving forensic scientist who evolves from a DNA lab technician to a field investigator on the TV series CSI: Crime Scene Investigation.
-
D.
Adam Pally
Adam Pally is an American actor and comedian best known for his roles on the TV series "Happy Endings" and "The Mindy Project."
-
E.
Seth Gabel
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbddd708190a6192466b7dfd606 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b80d3a3081908a255a40bd7a72a0 |
completed | May 11, 2026, 11:05 a.m. |
| NEDg | Description generation | batch_6a01b8ebb5ac8190a98fcaba61c45955 |
completed | May 11, 2026, 11:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9676d54819098315611857dd6ea |
completed | May 11, 2026, 11:11 a.m. |
Created at: April 10, 2026, 5:34 a.m.