Triple
T16629584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winters family |
E404040
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sofia Dupre
Sofia Dupre is a member of the Winters family, a fictional family featured in the soap opera "The Young and the Restless."
|
E1225151
|
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: Sofia Dupre | Statement: [Winters family, hasMember, Sofia Dupre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sofia Dupre Context triple: [Winters family, hasMember, Sofia Dupre]
-
A.
Sophie Aubry
Sophie Aubry is an actress known for her role in the 1995 British mystery drama film "Innocent Lies."
-
B.
June Duprez
June Duprez was a British film actress best known for her roles in 1940s dramas and adventure films, including the classic "The Thief of Bagdad."
-
C.
Victoria Legrand
Victoria Legrand is a French-American musician best known as the vocalist and keyboardist of the dream pop duo Beach House.
-
D.
Lulu Harcourt
Lulu Harcourt is the nickname of Lewis Vernon Harcourt, a British Liberal politician who served as Secretary of State for the Colonies in the early 20th century.
-
E.
Lizzie Brocheré
Lizzie Brocheré is a French actress known for her work in both European cinema and American television, including a prominent role in the horror anthology series American Horror Story.
- 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: Sofia Dupre Triple: [Winters family, hasMember, Sofia Dupre]
Generated description
Sofia Dupre is a member of the Winters family, a fictional family featured in the soap opera "The Young and the Restless."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sofia Dupre Target entity description: Sofia Dupre is a member of the Winters family, a fictional family featured in the soap opera "The Young and the Restless."
-
A.
Sophie Aubry
Sophie Aubry is an actress known for her role in the 1995 British mystery drama film "Innocent Lies."
-
B.
June Duprez
June Duprez was a British film actress best known for her roles in 1940s dramas and adventure films, including the classic "The Thief of Bagdad."
-
C.
Victoria Legrand
Victoria Legrand is a French-American musician best known as the vocalist and keyboardist of the dream pop duo Beach House.
-
D.
Lulu Harcourt
Lulu Harcourt is the nickname of Lewis Vernon Harcourt, a British Liberal politician who served as Secretary of State for the Colonies in the early 20th century.
-
E.
Lizzie Brocheré
Lizzie Brocheré is a French actress known for her work in both European cinema and American television, including a prominent role in the horror anthology series American Horror Story.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e4db5081908a6085f1bc2d65b8 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbc6cf48190879b25e66c9453db |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a0081baf8188190be95383ffe68fbb8 |
completed | May 10, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008239a5348190aea3820cf8a7d3f6 |
completed | May 10, 2026, 1:03 p.m. |
Created at: April 10, 2026, 5:17 a.m.