Triple
T7242148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kershaw |
E156381
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Steve Kershaw
Steve Kershaw is a British classicist, author, and lecturer known for his works on ancient Greek and Roman history and mythology.
|
E659258
|
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: Steve Kershaw | Statement: [Kershaw, hasNotableBearer, Steve Kershaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Kershaw Context triple: [Kershaw, hasNotableBearer, Steve Kershaw]
-
A.
Peter Kershaw
Peter Kershaw is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kershaw.
-
B.
Doug Kershaw
Doug Kershaw is an American Cajun fiddler and singer known for his energetic performances and for popularizing Cajun music to mainstream audiences.
-
C.
Michael Jessop
Michael Jessop is a member of the Derby Philosophical Society, a learned society dedicated to scientific and intellectual inquiry in Derby, England.
-
D.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
-
E.
Bob Shawkey
Bob Shawkey was an American Major League Baseball pitcher and later manager, best known for his successful career with the New York Yankees in the 1910s and 1920s.
- 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: Steve Kershaw Triple: [Kershaw, hasNotableBearer, Steve Kershaw]
Generated description
Steve Kershaw is a British classicist, author, and lecturer known for his works on ancient Greek and Roman history and mythology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Steve Kershaw Target entity description: Steve Kershaw is a British classicist, author, and lecturer known for his works on ancient Greek and Roman history and mythology.
-
A.
Peter Kershaw
Peter Kershaw is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Kershaw.
-
B.
Doug Kershaw
Doug Kershaw is an American Cajun fiddler and singer known for his energetic performances and for popularizing Cajun music to mainstream audiences.
-
C.
Michael Jessop
Michael Jessop is a member of the Derby Philosophical Society, a learned society dedicated to scientific and intellectual inquiry in Derby, England.
-
D.
Graham Walters
Graham Walters is a film producer best known for his work on the acclaimed Pixar animated feature "Finding Nemo."
-
E.
Bob Shawkey
Bob Shawkey was an American Major League Baseball pitcher and later manager, best known for his successful career with the New York Yankees in the 1910s and 1920s.
- 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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea552a688190a00f5d0ad982f787 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa6ad54081908a0be2d1f7d6505e |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fcc2cc4c8190871287fdf4338ebd |
completed | March 28, 2026, 4:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fd12d1f08190b0ae80fdc7e17cc5 |
completed | March 28, 2026, 4:08 p.m. |
Created at: March 27, 2026, 2:55 p.m.