Triple
T13277068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France Gall |
E316216
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Si maman si |
E1031817
|
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: Si maman si | Statement: [France Gall, notableSingle, Si maman si]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Si maman si Context triple: [France Gall, notableSingle, Si maman si]
-
A.
Si maman si
chosen
"Si maman si" is a popular French pop song by France Gall, written by Michel Berger and known for its introspective lyrics about a young woman's hopes and anxieties.
-
B.
Si tu vois ma mère
"Si tu vois ma mère" is a classic jazz composition by Sidney Bechet, renowned for its lyrical soprano saxophone melody and enduring influence in traditional jazz.
-
C.
Maman a tort
"Maman a tort" is the debut single by French singer Mylène Farmer, a dark, provocative pop song that launched her career in the mid-1980s.
-
D.
Madame Mère
Madame Mère was the honorific title of Letizia Ramolino, the mother of Napoleon Bonaparte and matriarch of the Bonaparte family.
-
E.
Les Yeux de sa mère
Les Yeux de sa mère is a French drama film featuring Julie Gayet in a prominent role, exploring complex family relationships and emotional entanglements.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716cfea308190836eb4892e7c5eb4 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:26 p.m.