Triple
T6377056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bevan |
E143491
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gwyneth Bevan
Gwyneth Bevan is a notable individual associated with the surname Bevan, recognized as a distinguished bearer of that name.
|
E587659
|
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: Gwyneth Bevan | Statement: [Bevan, hasNotableBearer, Gwyneth Bevan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwyneth Bevan Context triple: [Bevan, hasNotableBearer, Gwyneth Bevan]
-
A.
Gwyneth Williams
Gwyneth Williams is a British media executive best known for her role as Controller of BBC Radio 4 and BBC Radio 4 Extra.
-
B.
Gwyneth
Gwyneth is a feminine given name most notably borne by American actress and entrepreneur Gwyneth Paltrow.
-
C.
Gweneth Howarth
Gweneth Howarth was the second wife of physicist Richard Feynman, with whom she shared much of his later personal life.
-
D.
Gwyneth Paltrow
Gwyneth Paltrow is an American actress and businesswoman best known for her Academy Award–winning performance in "Shakespeare in Love" and for playing Pepper Potts in the Marvel Cinematic Universe.
-
E.
Gwynyth Walsh
Gwynyth Walsh is a Canadian actress known for her work in film and television, including roles in genre series such as "Star Trek: The Next Generation" and "Black Summer."
- 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: Gwyneth Bevan Triple: [Bevan, hasNotableBearer, Gwyneth Bevan]
Generated description
Gwyneth Bevan is a notable individual associated with the surname Bevan, recognized as a distinguished bearer of that name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gwyneth Bevan Target entity description: Gwyneth Bevan is a notable individual associated with the surname Bevan, recognized as a distinguished bearer of that name.
-
A.
Gwyneth Williams
Gwyneth Williams is a British media executive best known for her role as Controller of BBC Radio 4 and BBC Radio 4 Extra.
-
B.
Gwyneth
Gwyneth is a feminine given name most notably borne by American actress and entrepreneur Gwyneth Paltrow.
-
C.
Gweneth Howarth
Gweneth Howarth was the second wife of physicist Richard Feynman, with whom she shared much of his later personal life.
-
D.
Gwyneth Paltrow
Gwyneth Paltrow is an American actress and businesswoman best known for her Academy Award–winning performance in "Shakespeare in Love" and for playing Pepper Potts in the Marvel Cinematic Universe.
-
E.
Gwynyth Walsh
Gwynyth Walsh is a Canadian actress known for her work in film and television, including roles in genre series such as "Star Trek: The Next Generation" and "Black Summer."
- 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0683d7af881908d66d5230e1bfcb6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62da390c081908690ec716aed8fea |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62dfff4e08190a4491fdef022acb6 |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62e7c07a88190a366ff23605cb161 |
completed | March 27, 2026, 7:15 a.m. |
Created at: March 22, 2026, 4:33 p.m.