Triple
T13729965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nun (1966 film) |
E329770
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Anna Karina |
E204288
|
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: Anna Karina | Statement: [The Nun (1966 film), stars, Anna Karina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Karina Context triple: [The Nun (1966 film), stars, Anna Karina]
-
A.
Anna Karina
chosen
Anna Karina was a Danish-French actress, singer, and fashion icon best known as a muse of the French New Wave and for her acclaimed performances in films such as "A Woman Is a Woman" and "Pierrot le Fou."
-
B.
Anita Ekberg
Anita Ekberg was a Swedish actress and former model best known for her iconic role in Federico Fellini’s film "La Dolce Vita."
-
C.
Romy Schneider
Romy Schneider was an acclaimed Austrian-born actress best known for her roles in European cinema, particularly in the "Sissi" trilogy and numerous French films.
-
D.
Brigitte Helm
Brigitte Helm was a German actress best known for her iconic dual role as Maria and the Maschinenmensch in Fritz Lang’s pioneering science fiction film "Metropolis."
-
E.
Catherine Frot
Catherine Frot is a French actress acclaimed for her work in film, television, and theater, known for both her comedic talent and dramatic roles.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84c02e08190b8ef620575157c14 |
completed | May 3, 2026, 7:55 p.m. |
Created at: April 9, 2026, 9:55 p.m.