Triple
T21760690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riviera |
E537155
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lena Olin |
—
|
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: Lena Olin | Statement: [Riviera, starring, Lena Olin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lena Olin Context triple: [Riviera, starring, Lena Olin]
-
A.
Lena Olin
chosen
Lena Olin is a Swedish actress known for her acclaimed film and television roles, including performances in "The Unbearable Lightness of Being," "Enemies, A Love Story," and "Alias."
-
B.
Ramona Sarsgaard
Ramona Sarsgaard is the daughter of American actor Peter Sarsgaard and actress Maggie Gyllenhaal.
-
C.
Vera Farmiga
Vera Farmiga is an American actress known for her acclaimed performances in films such as "The Conjuring" series and "Up in the Air," as well as the TV series "Bates Motel."
-
D.
Laura Birn
Laura Birn is a Finnish actress known internationally for her role in the science fiction television series "Foundation" and for her work in both Finnish cinema and global productions.
-
E.
Jeanne Tripplehorn
Jeanne Tripplehorn is an American actress known for her film debut in the thriller "Basic Instinct" and prominent roles in movies like "The Firm" and the TV series "Big Love."
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d91e9788190a11d0295306e78a4 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.