Triple
T3433646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Winslet |
E72394
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Roger Winslet
Roger Winslet is the father of acclaimed English actress Kate Winslet.
|
E359066
|
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: Roger Winslet | Statement: [Kate Winslet, parent, Roger Winslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Winslet Context triple: [Kate Winslet, parent, Roger Winslet]
-
A.
Christian Bale
Christian Bale is an acclaimed British actor known for his intense method acting and transformative roles in films such as "American Psycho," "The Dark Knight" trilogy, and "The Fighter."
-
B.
Joe Alfie Winslet Mendes
Joe Alfie Winslet Mendes is the son of British film director Sam Mendes and English actress Kate Winslet.
-
C.
Colin Firth
Colin Firth is an Academy Award–winning English actor renowned for his nuanced performances in films such as "The King’s Speech," "Pride and Prejudice," and "A Single Man."
-
D.
Jude Law
Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
-
E.
Joseph Fiennes
Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
- 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: Roger Winslet Triple: [Kate Winslet, parent, Roger Winslet]
Generated description
Roger Winslet is the father of acclaimed English actress Kate Winslet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roger Winslet Target entity description: Roger Winslet is the father of acclaimed English actress Kate Winslet.
-
A.
Christian Bale
Christian Bale is an acclaimed British actor known for his intense method acting and transformative roles in films such as "American Psycho," "The Dark Knight" trilogy, and "The Fighter."
-
B.
Joe Alfie Winslet Mendes
Joe Alfie Winslet Mendes is the son of British film director Sam Mendes and English actress Kate Winslet.
-
C.
Colin Firth
Colin Firth is an Academy Award–winning English actor renowned for his nuanced performances in films such as "The King’s Speech," "Pride and Prejudice," and "A Single Man."
-
D.
Jude Law
Jude Law is an English actor known for his versatile performances in films such as "The Talented Mr. Ripley," "Cold Mountain," and the "Sherlock Holmes" series.
-
E.
Joseph Fiennes
Joseph Fiennes is an English actor known for his roles in films such as "Shakespeare in Love" and various historical and dramatic productions in both cinema and television.
- 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_69b360cbcb60819095a28e50cac5a4ca |
completed | March 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b361b5aab88190be74127a8cc055af |
completed | March 13, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36264b39481909e8255c3af92c977 |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.