Triple
T22962082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Search of Fellini |
E570927
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Barbara Bouchet |
—
|
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: Barbara Bouchet | Statement: [In Search of Fellini, castMember, Barbara Bouchet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Bouchet Context triple: [In Search of Fellini, castMember, Barbara Bouchet]
-
A.
Barbara Bouchet
chosen
Barbara Bouchet is a German-American actress and former model best known for her roles in 1960s–70s European cinema, including numerous Italian giallo and crime films.
-
B.
Françoise Brion
Françoise Brion is a French actress known for her work in European cinema from the 1960s onward, including collaborations with prominent auteurs.
-
C.
Micheline Presle
Micheline Presle is a renowned French actress known for her prolific film and television career spanning from the 1940s onward.
-
D.
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.
-
E.
Michèle Morgan
Michèle Morgan was a renowned French film actress celebrated for her expressive blue eyes and leading roles in classic European cinema from the 1930s through the 1960s.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f594fc8190816418486b798198 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.