Triple
T552524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BAFTA Award for Best Supporting Actress |
E11870
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
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.
|
E72394
|
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: Kate Winslet | Statement: [BAFTA Award for Best Supporting Actress, notableRecipient, Kate Winslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Winslet Context triple: [BAFTA Award for Best Supporting Actress, notableRecipient, Kate Winslet]
-
A.
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."
-
B.
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.
-
C.
Catherine Zeta-Jones
Catherine Zeta-Jones is a Welsh actress acclaimed for her roles in films such as "Chicago" and "The Mask of Zorro," for which she has received numerous awards including an Academy Award.
-
D.
Cate Blanchett
Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
-
E.
Nicole Kidman
Nicole Kidman is an acclaimed Australian-American actress and producer known for her versatile performances in films such as "Moulin Rouge!", "The Hours," and "Big Little Lies," for which she has received multiple Academy Awards, Golden Globes, and Emmys.
- 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: Kate Winslet Triple: [BAFTA Award for Best Supporting Actress, notableRecipient, Kate Winslet]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kate Winslet Target entity description: 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.
-
A.
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."
-
B.
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.
-
C.
Catherine Zeta-Jones
Catherine Zeta-Jones is a Welsh actress acclaimed for her roles in films such as "Chicago" and "The Mask of Zorro," for which she has received numerous awards including an Academy Award.
-
D.
Cate Blanchett
Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
-
E.
Nicole Kidman
Nicole Kidman is an acclaimed Australian-American actress and producer known for her versatile performances in films such as "Moulin Rouge!", "The Hours," and "Big Little Lies," for which she has received multiple Academy Awards, Golden Globes, and Emmys.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499047bd4819089ca8345f1b6e46c |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a501bb88f88190b1de92ca77606d2f |
completed | March 2, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69a503b501388190baed19e781c24b4d |
completed | March 2, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5077cf14081909478ea1e0fd3eff5 |
completed | March 2, 2026, 3:43 a.m. |
Created at: March 1, 2026, 7:32 p.m.