Triple
T7276897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angourie Rice |
E163052
|
entity |
| Predicate | hasWorkedWith |
P9615
|
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: [Angourie Rice, hasWorkedWith, Kate Winslet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Winslet Context triple: [Angourie Rice, hasWorkedWith, 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.
Beth Winslet
Beth Winslet is a British actress and the younger sister of acclaimed film star Kate Winslet.
-
C.
Anna Winslet
Anna Winslet is a member of the Winslet family and the sister of acclaimed English actress Kate Winslet.
-
D.
Joss Winslet
Joss Winslet is a sibling of acclaimed English actress Kate Winslet and a member of the Winslet family connected to the entertainment industry.
-
E.
Sally Bridges-Winslet
Sally Bridges-Winslet is the daughter of English actress Kate Winslet.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb2f239c819097c1ac4d6de8b0e5 |
completed | March 27, 2026, 8:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db3110688190bf52180ea159c91c |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.