Triple
T13744398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop |
E330175
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kevin Bishop
Kevin Bishop is a British actor, comedian, and writer best known for his sketch show "The Kevin Bishop Show" and his roles in film, television, and theatre.
|
E1098590
|
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: Kevin Bishop | Statement: [Bishop, hasNotableBearer, Kevin Bishop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Bishop Context triple: [Bishop, hasNotableBearer, Kevin Bishop]
-
A.
Kevin Shepherd
Kevin Shepherd is a fictional character who appears as a key figure in the live-action Disney film "102 Dalmatians."
-
B.
Chris Bishop
Chris Bishop is a television producer best known for his work as an executive producer on the ABC sitcom "The Goldbergs."
-
C.
Daron Bishop
Daron Bishop is a relatively obscure individual whose primary noted distinction is sharing the surname Bishop, with limited widely known public information available about him.
-
D.
Andy Bishop
Andy Bishop is a professional English footballer known for his career as a striker in the lower tiers of the English football league system.
-
E.
Brian Bonsall
Brian Bonsall is an American former child actor best known for playing Andy Keaton on the sitcom "Family Ties."
- 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: Kevin Bishop Triple: [Bishop, hasNotableBearer, Kevin Bishop]
Generated description
Kevin Bishop is a British actor, comedian, and writer best known for his sketch show "The Kevin Bishop Show" and his roles in film, television, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Bishop Target entity description: Kevin Bishop is a British actor, comedian, and writer best known for his sketch show "The Kevin Bishop Show" and his roles in film, television, and theatre.
-
A.
Kevin Shepherd
Kevin Shepherd is a fictional character who appears as a key figure in the live-action Disney film "102 Dalmatians."
-
B.
Chris Bishop
Chris Bishop is a television producer best known for his work as an executive producer on the ABC sitcom "The Goldbergs."
-
C.
Daron Bishop
Daron Bishop is a relatively obscure individual whose primary noted distinction is sharing the surname Bishop, with limited widely known public information available about him.
-
D.
Andy Bishop
Andy Bishop is a professional English footballer known for his career as a striker in the lower tiers of the English football league system.
-
E.
Brian Bonsall
Brian Bonsall is an American former child actor best known for playing Andy Keaton on the sitcom "Family Ties."
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de020855ec8190a60fa1cb761f2e68 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb05bb481909a0ad528e998fdf1 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d078b8081908810acb77be74b2b |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5d7e07a08190be5154674f7478fb |
completed | May 8, 2026, 3:50 a.m. |
Created at: April 9, 2026, 10:08 p.m.