Triple
T13276744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Soupirant |
E316209
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object |
France Arnell
France Arnell is an actress best known for her role in the French film "Le Soupirant."
|
E1031777
|
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: France Arnell | Statement: [Le Soupirant, starredActor, France Arnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Arnell Context triple: [Le Soupirant, starredActor, France Arnell]
-
A.
France Bélisle
France Bélisle is a Canadian politician who serves as the mayor of Gatineau, Quebec.
-
B.
Dominique La Rue
Dominique La Rue is a seductive and cunning nightclub singer and con artist in the 1989 crime-comedy film "Harlem Nights."
-
C.
Germaine Aussey
Germaine Aussey was a French film actress active in the 1930s and 1940s, known for her roles in comedies and popular European cinema of the era.
-
D.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
E.
Jean Renaudie
Jean Renaudie was a French architect known for his radical, geometric social housing projects and influential role in postwar modernist architecture.
- 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: France Arnell Triple: [Le Soupirant, starredActor, France Arnell]
Generated description
France Arnell is an actress best known for her role in the French film "Le Soupirant."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: France Arnell Target entity description: France Arnell is an actress best known for her role in the French film "Le Soupirant."
-
A.
France Bélisle
France Bélisle is a Canadian politician who serves as the mayor of Gatineau, Quebec.
-
B.
Dominique La Rue
Dominique La Rue is a seductive and cunning nightclub singer and con artist in the 1989 crime-comedy film "Harlem Nights."
-
C.
Germaine Aussey
Germaine Aussey was a French film actress active in the 1930s and 1940s, known for her roles in comedies and popular European cinema of the era.
-
D.
Jean Fayle
Jean Fayle is a person after whom another individual or entity named Jean was named, suggesting they were an influential or significant namesake.
-
E.
Jean Renaudie
Jean Renaudie was a French architect known for his radical, geometric social housing projects and influential role in postwar modernist architecture.
- 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_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_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f713088cc48190b705336339527f46 |
completed | May 3, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f713bd94048190a61dbd955bd1c542 |
completed | May 3, 2026, 9:22 a.m. |
Created at: April 9, 2026, 9:26 p.m.