Triple
T4299079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Wasikowska |
E99787
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Marzen Wasikowska
Marzen Wasikowska is the mother of Australian actress Mia Wasikowska.
|
E438642
|
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: Marzen Wasikowska | Statement: [Mia Wasikowska, parent, Marzen Wasikowska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marzen Wasikowska Context triple: [Mia Wasikowska, parent, Marzen Wasikowska]
-
A.
Kai Wasikowska
Kai Wasikowska is a sibling of Australian actress and filmmaker Mia Wasikowska, known for her roles in independent and mainstream films.
-
B.
Jess Wasikowska
Jess Wasikowska is a sibling of Australian actress Mia Wasikowska, known for her role in films such as "Alice in Wonderland."
-
C.
Wasikowska
Wasikowska is the surname of Australian actress Mia Wasikowska, known for her roles in films such as "Alice in Wonderland" and "Jane Eyre."
-
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.
Rooney Mara
Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
- 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: Marzen Wasikowska Triple: [Mia Wasikowska, parent, Marzen Wasikowska]
Generated description
Marzen Wasikowska is the mother of Australian actress Mia Wasikowska.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marzen Wasikowska Target entity description: Marzen Wasikowska is the mother of Australian actress Mia Wasikowska.
-
A.
Kai Wasikowska
Kai Wasikowska is a sibling of Australian actress and filmmaker Mia Wasikowska, known for her roles in independent and mainstream films.
-
B.
Jess Wasikowska
Jess Wasikowska is a sibling of Australian actress Mia Wasikowska, known for her role in films such as "Alice in Wonderland."
-
C.
Wasikowska
Wasikowska is the surname of Australian actress Mia Wasikowska, known for her roles in films such as "Alice in Wonderland" and "Jane Eyre."
-
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.
Rooney Mara
Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509d39348190aa83304661230cba |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5b965c48190990357f4cb4e30cb |
completed | March 14, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_69b5f65e9bec819082c33b0c066cd42b |
completed | March 14, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5fa90f6a48190a27dfeb65f705225 |
completed | March 15, 2026, 12:17 a.m. |
Created at: March 12, 2026, 11:08 p.m.