Triple
T18139920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bûche |
E434233
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Françoise Fabian |
—
|
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: Françoise Fabian | Statement: [La Bûche, castMember, Françoise Fabian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Françoise Fabian Context triple: [La Bûche, castMember, Françoise Fabian]
-
A.
Françoise Fabian
chosen
Françoise Fabian is a French actress renowned for her work in auteur cinema, particularly in the films of the French New Wave and European art-house directors.
-
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.
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.
-
D.
Hélène Brion
Hélène Brion was a French feminist, pacifist, and trade unionist known for her activism during and after World War I.
-
E.
Françoise Rosay
Françoise Rosay was a prominent French stage and film actress known for her powerful character roles in European cinema from the 1920s through the 1950s.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.