Triple
T6274161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenkins |
E140612
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian Jenkins
Brian Jenkins is a name shared by several notable individuals, including American football coaches and a prominent terrorism and security expert.
|
E591603
|
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: Brian Jenkins | Statement: [Jenkins, hasNotableBearer, Brian Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Jenkins Context triple: [Jenkins, hasNotableBearer, Brian Jenkins]
-
A.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
B.
Todd Jenkins
Todd Jenkins is the son of American figure skating legend and Olympic gold medalist Peggy Fleming.
-
C.
Allen Jenkins
Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
D.
Greg Jenkins
Greg Jenkins is an American dermatologist best known as the husband of Olympic figure skating champion Peggy Fleming.
-
E.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
- 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: Brian Jenkins Triple: [Jenkins, hasNotableBearer, Brian Jenkins]
Generated description
Brian Jenkins is a name shared by several notable individuals, including American football coaches and a prominent terrorism and security expert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Jenkins Target entity description: Brian Jenkins is a name shared by several notable individuals, including American football coaches and a prominent terrorism and security expert.
-
A.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
B.
Todd Jenkins
Todd Jenkins is the son of American figure skating legend and Olympic gold medalist Peggy Fleming.
-
C.
Allen Jenkins
Allen Jenkins was an American character actor known for his comic supporting roles in numerous Hollywood films of the 1930s and 1940s.
-
D.
Greg Jenkins
Greg Jenkins is an American dermatologist best known as the husband of Olympic figure skating champion Peggy Fleming.
-
E.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063c0629c8190805ddf1a604e9ca4 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640a7ef8881909b00ce1f479f0fb4 |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c6417c37a08190821e0a1c1771fa88 |
completed | March 27, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c641d7131481908dd007023327d5a4 |
completed | March 27, 2026, 8:37 a.m. |
Created at: March 22, 2026, 4:25 p.m.