Triple
T23056672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasmine French |
E574174
|
entity |
| Predicate | awardAssociation |
P57524
|
FINISHED |
| Object | Cate Blanchett Academy Award for Best Actress |
—
|
NE NERFINISHED |
How this triple was built (3 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: Cate Blanchett Academy Award for Best Actress | Statement: [Jasmine French, awardAssociation, Cate Blanchett Academy Award for Best Actress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cate Blanchett Academy Award for Best Actress Context triple: [Jasmine French, awardAssociation, Cate Blanchett Academy Award for Best Actress]
-
A.
Cate Blanchett
Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
-
B.
Marion Cotillard
Marion Cotillard is an acclaimed French actress known for her versatile performances in both French and Hollywood films, including her Oscar-winning role in "La Vie en Rose."
-
C.
Robert for Best Actress in a Leading Role
Robert for Best Actress in a Leading Role is a Danish film award presented annually to honor the year’s outstanding leading actress in cinema.
-
D.
Julianne Moore
Julianne Moore is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, including multiple Oscar-nominated roles and a Best Actress win for "Still Alice."
-
E.
Academy Award for Best Actress for Poor Things
The Academy Award for Best Actress for Poor Things is the Oscar given to Emma Stone for her acclaimed leading performance as Bella Baxter in the 2023 film "Poor Things."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cate Blanchett Academy Award for Best Actress Target entity description: The Cate Blanchett Academy Award for Best Actress refers to the Oscar she won for her leading performance as Jasmine French in the film "Blue Jasmine."
-
A.
Cate Blanchett
chosen
Cate Blanchett is an acclaimed Australian actress renowned for her versatile performances in both independent films and major Hollywood productions, earning numerous awards including Oscars, Golden Globes, and BAFTAs.
-
B.
Marion Cotillard
Marion Cotillard is an acclaimed French actress known for her versatile performances in both French and Hollywood films, including her Oscar-winning role in "La Vie en Rose."
-
C.
Robert for Best Actress in a Leading Role
Robert for Best Actress in a Leading Role is a Danish film award presented annually to honor the year’s outstanding leading actress in cinema.
-
D.
Julianne Moore
Julianne Moore is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, including multiple Oscar-nominated roles and a Best Actress win for "Still Alice."
-
E.
Academy Award for Best Actress for Poor Things
The Academy Award for Best Actress for Poor Things is the Oscar given to Emma Stone for her acclaimed leading performance as Bella Baxter in the 2023 film "Poor Things."
- F. None of above.
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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1868099708190b23725dc8a305e09 |
completed | April 29, 2026, 4:18 a.m. |
Created at: April 17, 2026, 3:55 p.m.