Triple
T3433644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Winslet |
E72394
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Beth Winslet
Beth Winslet is a British actress and the younger sister of acclaimed film star Kate Winslet.
|
E364635
|
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: Beth Winslet | Statement: [Kate Winslet, hasSibling, Beth Winslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beth Winslet Context triple: [Kate Winslet, hasSibling, Beth Winslet]
-
A.
Kate Winslet
Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
-
B.
Anna Winslet
Anna Winslet is a member of the Winslet family and the sister of acclaimed English actress Kate Winslet.
-
C.
Keira Knightley
Keira Knightley is an English actress known for her roles in period dramas and major film franchises such as "Pirates of the Caribbean" and "Pride & Prejudice."
-
D.
Sophie Fiennes
Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
-
E.
Michelle Williams
Michelle Williams is an American singer and actress best known as one of the lead vocalists of the Grammy-winning R&B group Destiny's Child.
- 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: Beth Winslet Triple: [Kate Winslet, hasSibling, Beth Winslet]
Generated description
Beth Winslet is a British actress and the younger sister of acclaimed film star Kate Winslet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beth Winslet Target entity description: Beth Winslet is a British actress and the younger sister of acclaimed film star Kate Winslet.
-
A.
Kate Winslet
Kate Winslet is an acclaimed English actress known for her versatile performances in films such as "Titanic," "Eternal Sunshine of the Spotless Mind," and "The Reader," for which she has received numerous major awards.
-
B.
Anna Winslet
Anna Winslet is a member of the Winslet family and the sister of acclaimed English actress Kate Winslet.
-
C.
Keira Knightley
Keira Knightley is an English actress known for her roles in period dramas and major film franchises such as "Pirates of the Caribbean" and "Pride & Prejudice."
-
D.
Sophie Fiennes
Sophie Fiennes is a British film director and producer known for her innovative documentaries and collaborations with artists and philosophers.
-
E.
Michelle Williams
Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
- 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c1d9148190b873ba66d34d4f01 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e563dc08190a9c3a3ec725cb1d6 |
completed | March 13, 2026, 3:02 a.m. |
| NEDg | Description generation | batch_69b37ede876c8190ab8d4b595ebb1af2 |
completed | March 13, 2026, 3:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37f5574b08190bdde80b47f2cb99c |
completed | March 13, 2026, 3:07 a.m. |
Created at: March 8, 2026, 3:16 p.m.