Triple
T13729969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nun (1966 film) |
E329770
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Francine Bergé
Francine Bergé is a French actress known for her work in mid-20th-century cinema and theater, often appearing in psychologically intense and avant-garde films.
|
E1104644
|
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: Francine Bergé | Statement: [The Nun (1966 film), castMember, Francine Bergé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francine Bergé Context triple: [The Nun (1966 film), castMember, Francine Bergé]
-
A.
Marlène Mourier
Marlène Mourier is a French local politician who serves as the mayor of the commune of Bourg-lès-Valence.
-
B.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
-
C.
Hélène Rochas
Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
-
D.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
-
E.
Françoise Schein
Françoise Schein is a Belgian-born artist and architect known for large-scale public artworks, often in metro stations, that integrate human rights themes and typographic design.
- 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: Francine Bergé Triple: [The Nun (1966 film), castMember, Francine Bergé]
Generated description
Francine Bergé is a French actress known for her work in mid-20th-century cinema and theater, often appearing in psychologically intense and avant-garde films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Francine Bergé Target entity description: Francine Bergé is a French actress known for her work in mid-20th-century cinema and theater, often appearing in psychologically intense and avant-garde films.
-
A.
Marlène Mourier
Marlène Mourier is a French local politician who serves as the mayor of the commune of Bourg-lès-Valence.
-
B.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
-
C.
Hélène Rochas
Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
-
D.
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
-
E.
Françoise Schein
Françoise Schein is a Belgian-born artist and architect known for large-scale public artworks, often in metro stations, that integrate human rights themes and typographic design.
- 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_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a2df73c8190aeb6f472ac7ebeed |
completed | May 8, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69fd7c066ca88190a7113633c7f5e2db |
completed | May 8, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7c7af4e881908be6667b70f293ab |
completed | May 8, 2026, 6:02 a.m. |
Created at: April 9, 2026, 9:55 p.m.