Triple
T13730238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angélique |
E329776
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Angèle
Angèle is a Belgian pop singer-songwriter known for her witty, socially aware lyrics and hit songs like "Balance ton quoi."
|
E1056674
|
NE FINISHED |
How this triple was built (4 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: Angèle | Statement: [Angélique, relatedName, Angèle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angèle Context triple: [Angélique, relatedName, Angèle]
-
A.
Louane
Louane is a French singer and actress known for her pop hits and her breakout role in the film "La Famille Bélier."
-
B.
Alizée
Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
-
C.
Natacha St-Pier
Natacha St-Pier is a Canadian francophone pop singer known for her successful career in the French-speaking music world, including representing France at the Eurovision Song Contest in 2001.
-
D.
Axelle Francine
Axelle Francine is a French journalist and image consultant best known for her previous marriage to NBA star Tony Parker.
-
E.
Aya Nakamura
Aya Nakamura is a French-Malian pop and R&B singer known for her global hit "Djadja" and her influential role in contemporary Francophone urban music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Angèle Triple: [Angélique, relatedName, Angèle]
Generated description
Angèle is a Belgian pop singer-songwriter known for her witty, socially aware lyrics and hit songs like "Balance ton quoi."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angèle Target entity description: Angèle is a Belgian pop singer-songwriter known for her witty, socially aware lyrics and hit songs like "Balance ton quoi."
-
A.
Louane
Louane is a French singer and actress known for her pop hits and her breakout role in the film "La Famille Bélier."
-
B.
Alizée
Alizée is a French pop singer and dancer who rose to international fame in the early 2000s with her hit single "Moi... Lolita."
-
C.
Natacha St-Pier
Natacha St-Pier is a Canadian francophone pop singer known for her successful career in the French-speaking music world, including representing France at the Eurovision Song Contest in 2001.
-
D.
Axelle Francine
Axelle Francine is a French journalist and image consultant best known for her previous marriage to NBA star Tony Parker.
-
E.
Aya Nakamura
Aya Nakamura is a French-Malian pop and R&B singer known for her global hit "Djadja" and her influential role in contemporary Francophone urban music.
- F. None of above. chosen
Provenance (5 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f92b588190be97ec4564dddd59 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d65062c819086a5f7a7ebc45412 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e1a90408190936cb71e567e10aa |
completed | May 3, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79ee74ea48190a4c753b12bb9190e |
completed | May 3, 2026, 7:15 p.m. |
Created at: April 9, 2026, 9:55 p.m.