Triple
T9846509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Beau Serge |
E239353
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Michèle Méritz
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
|
E851279
|
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: Michèle Méritz | Statement: [Le Beau Serge, castMember, Michèle Méritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michèle Méritz Context triple: [Le Beau Serge, castMember, Michèle Méritz]
-
A.
Hélène Rochas
Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
-
B.
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.
-
C.
Brigitte Fouré
Brigitte Fouré is a French politician known for serving as the mayor of the city of Amiens.
-
D.
Micheline Winter
Micheline Winter was the wife of renowned French filmmaker and actor Jacques Tati.
-
E.
Valérie Marneffe
Valérie Marneffe is a cunning and manipulative Parisian courtesan in Honoré de Balzac’s novel "La Cousine Bette," known for using her beauty and charm to ruin the men who fall in love with her.
- 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: Michèle Méritz Triple: [Le Beau Serge, castMember, Michèle Méritz]
Generated description
Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michèle Méritz Target entity description: Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
-
A.
Hélène Rochas
Hélène Rochas was a French socialite, businesswoman, and former model who became the influential head of the Rochas perfume and fashion house.
-
B.
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.
-
C.
Brigitte Fouré
Brigitte Fouré is a French politician known for serving as the mayor of the city of Amiens.
-
D.
Micheline Winter
Micheline Winter was the wife of renowned French filmmaker and actor Jacques Tati.
-
E.
Valérie Marneffe
Valérie Marneffe is a cunning and manipulative Parisian courtesan in Honoré de Balzac’s novel "La Cousine Bette," known for using her beauty and charm to ruin the men who fall in love with her.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb36156308190b26892702f3b41e0 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6b5338481909e05d82ceb8fadf5 |
completed | April 9, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69d6fa2bb2ec8190aa099988a6c225eb |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd10dbc08190a297073e1b737566 |
completed | April 9, 2026, 1:12 a.m. |
Created at: March 30, 2026, 8:34 p.m.