Triple
T1045956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Wise |
E22577
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Kate Winslet |
E72394
|
NE FINISHED |
How this triple was built (2 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: [Greg Wise, workedWith, Kate Winslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Winslet Context triple: [Greg Wise, workedWith, Kate Winslet]
-
A.
Kate Winslet
chosen
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.
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."
-
C.
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.
-
D.
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.
-
E.
Michelle Dockery
Michelle Dockery is an English actress best known for her role as Lady Mary Crawley in the television series "Downton Abbey."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84bb0048190badf6d2f7f684d99 |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c18692c819092e1045199053a39 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:42 p.m.