Triple
T18958713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golddiggers |
E463851
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Karen Hutton
Karen Hutton is an American photographer, voiceover artist, and former entertainer known for her work in visual arts and media.
|
E1350432
|
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: Karen Hutton | Statement: [The Golddiggers, hasNotableMember, Karen Hutton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Hutton Context triple: [The Golddiggers, hasNotableMember, Karen Hutton]
-
A.
Karen Courtney
Karen Courtney is known as the wife of the late British actor Nicholas Courtney, famed for his long-running role as Brigadier Lethbridge-Stewart in Doctor Who.
-
B.
Helen Gilbert
Helen Gilbert was an American actress and singer active in the 1930s and 1940s, known for her roles in Hollywood films and musical performances.
-
C.
Betty Cuthbert
Betty Cuthbert was an Australian sprinter renowned for winning four Olympic gold medals across the 100 m, 200 m, and 400 m events, earning her the nickname "The Golden Girl."
-
D.
Eileen Soper
Eileen Soper was a British illustrator and etcher best known for her lively illustrations in Enid Blyton’s children’s books.
-
E.
Helene Evans
Helene Evans is known as the wife of American football wide receiver Mike Evans.
- 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: Karen Hutton Triple: [The Golddiggers, hasNotableMember, Karen Hutton]
Generated description
Karen Hutton is an American photographer, voiceover artist, and former entertainer known for her work in visual arts and media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karen Hutton Target entity description: Karen Hutton is an American photographer, voiceover artist, and former entertainer known for her work in visual arts and media.
-
A.
Karen Courtney
Karen Courtney is known as the wife of the late British actor Nicholas Courtney, famed for his long-running role as Brigadier Lethbridge-Stewart in Doctor Who.
-
B.
Helen Gilbert
Helen Gilbert was an American actress and singer active in the 1930s and 1940s, known for her roles in Hollywood films and musical performances.
-
C.
Betty Cuthbert
Betty Cuthbert was an Australian sprinter renowned for winning four Olympic gold medals across the 100 m, 200 m, and 400 m events, earning her the nickname "The Golden Girl."
-
D.
Eileen Soper
Eileen Soper was a British illustrator and etcher best known for her lively illustrations in Enid Blyton’s children’s books.
-
E.
Helene Evans
Helene Evans is known as the wife of American football wide receiver Mike Evans.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d057a48190b82b5788b3281e28 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fd732f8819087374b0157bb693e |
completed | May 14, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_6a05a162a4ec81908bcdccd46e19035e |
completed | May 14, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05a1f3b8908190b8295a25fff9daba |
completed | May 14, 2026, 10:20 a.m. |
Created at: April 10, 2026, noon