Triple
T12683622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Love Sarah Jane |
E303008
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Mia Wasikowska |
E99787
|
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: Mia Wasikowska | Statement: [I Love Sarah Jane, stars, Mia Wasikowska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mia Wasikowska Context triple: [I Love Sarah Jane, stars, Mia Wasikowska]
-
A.
Mia Wasikowska
chosen
Mia Wasikowska is an Australian actress known for her versatile performances in films such as "Alice in Wonderland," "Jane Eyre," and various independent dramas.
-
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.
Kai Wasikowska
Kai Wasikowska is a sibling of Australian actress and filmmaker Mia Wasikowska, known for her roles in independent and mainstream films.
-
D.
Marzen Wasikowska
Marzen Wasikowska is the mother of Australian actress Mia Wasikowska.
-
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.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d68358819095bdaab8adf1dcf0 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7a79908190b83a868090990bbe |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.