Triple
T18311776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marzen Wasikowska |
E438642
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Jess 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: Jess Wasikowska | Statement: [Marzen Wasikowska, child, Jess Wasikowska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jess Wasikowska Context triple: [Marzen Wasikowska, child, Jess Wasikowska]
-
A.
Jess Wasikowska
chosen
Jess Wasikowska is a sibling of Australian actress Mia Wasikowska, known for her role in films such as "Alice in Wonderland."
-
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.
Mia Wasikowska
Mia Wasikowska is an Australian actress known for her versatile performances in films such as "Alice in Wonderland," "Jane Eyre," and various independent dramas.
-
E.
Wasikowska
Wasikowska is the surname of Australian actress Mia Wasikowska, known for her roles in films such as "Alice in Wonderland" and "Jane Eyre."
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50219cd548190b8da5f402d5da773 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.