Triple
T22051876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Ripoux |
E544903
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jean Rougerie |
—
|
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: Jean Rougerie | Statement: [Les Ripoux, castMember, Jean Rougerie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Rougerie Context triple: [Les Ripoux, castMember, Jean Rougerie]
-
A.
Jean Rougerie
chosen
Jean Rougerie was a French film and television actor known for his supporting roles in numerous French productions during the late 20th century.
-
B.
Georges Benoît
Georges Benoît was a French cinematographer active in early 20th-century cinema, known for his work on both European and American films.
-
C.
Michel Bouquet
Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
-
D.
Francis Pierlot
Francis Pierlot was an American character actor known for his supporting roles in early 20th-century stage and film productions.
-
E.
Lucien Hervé
Lucien Hervé was a Hungarian-French photographer renowned for his stark, abstract architectural images and his long collaboration with Le Corbusier.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.