Triple
T17768743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Riva |
E443576
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Maria Riva |
—
|
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: Maria Riva | Statement: [Maria Riva, name, Maria Riva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maria Riva Context triple: [Maria Riva, name, Maria Riva]
-
A.
Maria Riva
chosen
Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
-
B.
Julia Garner
Julia Garner is an American actress best known for her critically acclaimed, Emmy-winning performance as Ruth Langmore in the Netflix crime drama series "Ozark."
-
C.
Olivia Cooke
Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
-
D.
Emily Patterson
Emily Patterson is the daughter of American actress Téa Leoni.
-
E.
Joey King
Joey King is an American actress known for her roles in films such as "The Kissing Booth" series, "The Act," and various other television and movie projects.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fd8aa081909c8ee9264af15c69 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.