Triple
T10297350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurent Boutonnat |
E241526
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Alizée |
E27213
|
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: Alizée | Statement: [Laurent Boutonnat, associatedAct, Alizée]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alizée Context triple: [Laurent Boutonnat, associatedAct, Alizée]
-
A.
Alizée
chosen
Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
-
B.
Axelle Francine
Axelle Francine is a French journalist and image consultant best known for her previous marriage to NBA star Tony Parker.
-
C.
Mylène Farmer
Mylène Farmer is a French singer-songwriter and producer renowned for her melancholic pop music, poetic lyrics, and visually striking, often controversial music videos.
-
D.
Eiffel 65
Eiffel 65 is an Italian Eurodance music group best known internationally for their late-1990s hit single "Blue (Da Ba Dee)."
-
E.
Hélène Ségara
Hélène Ségara is a French pop singer and musical theatre performer best known internationally for playing Esmeralda in the hit stage musical Notre-Dame de 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ebd258819099fadddcd13099fc |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d794d34978819083ce709fa2dcaca7 |
completed | April 9, 2026, noon |
Created at: April 6, 2026, 11:43 a.m.