Triple
T9846404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Night at Maud’s |
E239351
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jean-Louis
Jean-Louis is the introspective, morally conflicted Catholic engineer who serves as the central protagonist in Éric Rohmer’s film "My Night at Maud’s."
|
E824848
|
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: Jean-Louis | Statement: [My Night at Maud’s, mainCharacter, Jean-Louis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean-Louis Context triple: [My Night at Maud’s, mainCharacter, Jean-Louis]
-
A.
Jean-Louis
Jean-Louis is the birth name of American novelist and Beat Generation icon Jack Kerouac.
-
B.
Jean-Louis
Jean-Louis is the given first name of the French Romantic painter Théodore Géricault, renowned for works such as "The Raft of the Medusa."
-
C.
Jean Louis
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
-
D.
Jean-Marie
Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
-
E.
Christophe Marie
Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
- 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: Jean-Louis Triple: [My Night at Maud’s, mainCharacter, Jean-Louis]
Generated description
Jean-Louis is the introspective, morally conflicted Catholic engineer who serves as the central protagonist in Éric Rohmer’s film "My Night at Maud’s."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean-Louis Target entity description: Jean-Louis is the introspective, morally conflicted Catholic engineer who serves as the central protagonist in Éric Rohmer’s film "My Night at Maud’s."
-
A.
Jean-Louis
Jean-Louis is the birth name of American novelist and Beat Generation icon Jack Kerouac.
-
B.
Jean-Louis
Jean-Louis is the given first name of the French Romantic painter Théodore Géricault, renowned for works such as "The Raft of the Medusa."
-
C.
Jean Louis
Jean Louis was a renowned French-born American costume designer celebrated for his glamorous Hollywood film and television wardrobe creations.
-
D.
Jean-Marie
Jean-Marie is a French given name most notably borne by Nobel Prize–winning chemist Jean-Marie Lehn.
-
E.
Christophe Marie
Christophe Marie was a 17th-century French engineer and entrepreneur best known for designing and overseeing the construction of the Pont Marie bridge in Paris.
- 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_69d1d5e1b67c8190ad7b57ea423511d8 |
completed | April 5, 2026, 3:24 a.m. |
| NEDg | Description generation | batch_69d1d6a385ac8190b5dd11adfbb7578d |
completed | April 5, 2026, 3:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d75210f4819096ee05a8b870581e |
completed | April 5, 2026, 3:30 a.m. |
Created at: March 30, 2026, 8:34 p.m.