Triple
T18139949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bûche |
E434233
|
entity |
| Predicate | hasOriginalTitle |
P38
|
FINISHED |
| Object | La Bûche |
—
|
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: La Bûche | Statement: [La Bûche, hasOriginalTitle, La Bûche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bûche Context triple: [La Bûche, hasOriginalTitle, La Bûche]
-
A.
La Bûche
chosen
La Bûche is a 1999 French comedy-drama film centered on a dysfunctional family reuniting at Christmas, noted for its ensemble cast and nuanced portrayal of relationships.
-
B.
Le Gâteau
Le Gâteau is one of the short prose poems in Charles Baudelaire’s collection *Le Spleen de Paris*, exemplifying his exploration of modern urban life and existential melancholy.
-
C.
La Pâtisserie
La Pâtisserie is a genre painting by French artist Jean Béraud that vividly captures Parisian bourgeois life inside a pastry shop during the late 19th century.
-
D.
La Grande Galette
La Grande Galette is the affectionate nickname of the Caribbean island of Marie-Galante, known for its round shape, sugarcane fields, and traditional rum production.
-
E.
Bouchoir
Bouchoir is a small French commune located in the Somme department in northern France.
- 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.