Triple
T22185097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Cancan |
E548272
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Françoise Arnoul |
—
|
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 Arnoul | Statement: [French Cancan, castMember, Françoise Arnoul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Françoise Arnoul Context triple: [French Cancan, castMember, Françoise Arnoul]
-
A.
Françoise Arnoul
chosen
Françoise Arnoul was a prominent French film actress of the 1950s and 1960s, known for her glamorous screen presence and roles in classic French cinema.
-
B.
Françoise Bonnot
Françoise Bonnot was a French film editor renowned for her long-standing collaborations with director Costa-Gavras and her work on numerous acclaimed international films.
-
C.
Françoise Lachenay
Françoise Lachenay is a central female character in François Truffaut’s 1964 film "The Soft Skin," involved in the story’s tense romantic and marital drama.
-
D.
Michèle Girardon
Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
-
E.
Armande Voizin
Armande Voizin is a strong-willed, eccentric elderly woman in the novel and film "Chocolat," known for her rebellious spirit and close bond with the chocolatier Vianne.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa823888190829368de6db4aa91 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.