Triple
T10524035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betty Blue |
E248249
|
entity |
| Predicate | hasOriginalTitle |
P38
|
FINISHED |
| Object | 37°2 le matin |
E869314
|
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: 37°2 le matin | Statement: [Betty Blue, hasOriginalTitle, 37°2 le matin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 37°2 le matin Context triple: [Betty Blue, hasOriginalTitle, 37°2 le matin]
-
A.
37°2 le matin
chosen
37°2 le matin is a 1985 French novel by Philippe Djian, best known internationally as the source material for the film "Betty Blue."
-
B.
Encore un matin
"Encore un matin" is a popular French pop song by singer-songwriter Jean-Jacques Goldman, known for its reflective lyrics and melodic, radio-friendly style.
-
C.
Serres chaudes
Serres chaudes is a symbolist poetry collection by Belgian writer Maurice Maeterlinck, noted for its introspective, dreamlike atmosphere and exploration of psychological and spiritual states.
-
D.
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.
-
E.
Petit à petit
Petit à petit is a 1970 ethnographic comedy film by Jean Rouch that satirically explores cultural differences through the story of Nigerien businessmen investigating life in Paris.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509e155b08190996325bf484ec55d |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 |
completed | April 10, 2026, 5:31 p.m. |
Created at: April 6, 2026, 12:29 p.m.