Triple
T13191104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mélanie Laurent |
E313986
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Demain |
E1027295
|
NE FINISHED |
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: Demain | Statement: [Mélanie Laurent, directed, Demain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demain Context triple: [Mélanie Laurent, directed, Demain]
-
A.
Demain
chosen
Demain is a French documentary film co-directed by Mélanie Laurent that explores practical, grassroots solutions to environmental and social challenges around the world.
-
B.
Demain tout commence
Demain tout commence is a French comedy-drama film in which Omar Sy plays a carefree bachelor whose life is transformed when he must suddenly raise his young daughter alone.
-
C.
Demain, dès l’aube
"Demain, dès l’aube" is a famous poem by Victor Hugo, known for its poignant evocation of grief and a solitary journey to a loved one’s grave.
-
D.
Le Jour
Le Jour is the original French title of the 1987 American drama film "The Day," directed by Peter Markle.
-
E.
Le Jour
Le Jour is a French film that forms the central part of Marcel Hanoun’s experimental Night–Dawn–Day trilogy, exploring time, perception, and cinematic form.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c600ab48190bcf84aaf5846fb4b |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff177ba88190afb2043cc157248d |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 9, 2026, 9:15 p.m.