Triple
T18014667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Wasikowska |
E430969
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wasikowska |
—
|
NE NERFINISHED |
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: Wasikowska | Statement: [Mia Wasikowska, familyName, Wasikowska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wasikowska Context triple: [Mia Wasikowska, familyName, Wasikowska]
-
A.
Wasikowska
chosen
Wasikowska is the surname of Australian actress Mia Wasikowska, known for her roles in films such as "Alice in Wonderland" and "Jane Eyre."
-
B.
Marzen Wasikowska
Marzen Wasikowska is the mother of Australian actress Mia Wasikowska.
-
C.
Kai Wasikowska
Kai Wasikowska is a sibling of Australian actress and filmmaker Mia Wasikowska, known for her roles in independent and mainstream films.
-
D.
Jess Wasikowska
Jess Wasikowska is a sibling of Australian actress Mia Wasikowska, known for her role in films such as "Alice in Wonderland."
-
E.
Elizabeth Debicki
Elizabeth Debicki is an Australian actress known for her striking performances in films and series such as "The Great Gatsby," "The Night Manager," and "The Crown."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b522e84c8190a03f6445df9f5ac8 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.