Triple
T17435116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Famille Bélier |
E423981
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object | Louane Emera |
—
|
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: Louane Emera | Statement: [La Famille Bélier, starred, Louane Emera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louane Emera Context triple: [La Famille Bélier, starred, Louane Emera]
-
A.
Louane
chosen
Louane is a French singer and actress known for her pop hits and her breakout role in the film "La Famille Bélier."
-
B.
Elodie Yung
Elodie Yung is a French actress best known for her roles in projects like Marvel's "Daredevil" and "The Defenders," where she portrayed the assassin Elektra Natchios.
-
C.
Tilly Grosser
Tilly Grosser was the first wife of Austrian neurologist and Holocaust survivor Viktor Frankl, who perished during the Holocaust.
-
D.
Angèle
Angèle is a Belgian pop singer-songwriter known for her witty, socially aware lyrics and hit songs like "Balance ton quoi."
-
E.
Lyndsy Fonseca
Lyndsy Fonseca is an American actress known for her roles in television series such as "How I Met Your Mother," "Nikita," and "Desperate Housewives," as well as films like "Kick-Ass."
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490361c081908fd24f9a812f212c |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.