Triple
T977140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oscar and Lucinda |
E21078
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Cate Blanchett |
E37819
|
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: Cate Blanchett | Statement: [Oscar and Lucinda, castMember, Cate Blanchett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cate Blanchett Context triple: [Oscar and Lucinda, castMember, Cate Blanchett]
-
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.
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."
-
C.
Michelle Williams
Michelle Williams is an acclaimed American actress known for her emotionally nuanced performances in both independent films and major studio productions, earning multiple Academy Award and Golden Globe nominations and wins.
-
D.
Charlize Theron
Charlize Theron is an Academy Award–winning South African–American actress and producer known for her versatile performances in films such as "Monster," "Mad Max: Fury Road," and "Atomic Blonde."
-
E.
Nicole Kidman
Nicole Kidman is an acclaimed Australian-American actress and producer known for her versatile performances in films such as "Moulin Rouge!", "The Hours," and "Big Little Lies," for which she has received multiple Academy Awards, Golden Globes, and Emmys.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b46344048190b7a13b8f3ad9f455 |
completed | March 1, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5e9b74e481908c7d8256bd180d73 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:40 p.m.