Triple
T12301634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayerling (1936 film) |
E293238
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Jean Debucourt
Jean Debucourt was a French stage and film actor known for his prolific career in early 20th-century French cinema and theatre.
|
E1092632
|
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 Debucourt | Statement: [Mayerling (1936 film), castMember, Jean Debucourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Debucourt Context triple: [Mayerling (1936 film), castMember, Jean Debucourt]
-
A.
Marc Gricourt
Marc Gricourt is a French politician who serves as the mayor of the city of Blois.
-
B.
Aimé Sauffroy
Aimé Sauffroy was a French architect known for overseeing the reconstruction of the historic Théâtre de la Porte Saint-Martin in Paris.
-
C.
Hervé de Luze
Hervé de Luze is a French film editor renowned for his long-standing collaborations with directors such as Roman Polanski and Alain Resnais.
-
D.
Louis Boisot
Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
-
E.
Maurice Courtelin
Maurice Courtelin is the charming Parisian tailor portrayed by Maurice Chevalier in the 1932 musical film "Love Me Tonight," known for his wit, romance, and catchy songs.
- 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 Debucourt Triple: [Mayerling (1936 film), castMember, Jean Debucourt]
Generated description
Jean Debucourt was a French stage and film actor known for his prolific career in early 20th-century French cinema and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jean Debucourt Target entity description: Jean Debucourt was a French stage and film actor known for his prolific career in early 20th-century French cinema and theatre.
-
A.
Marc Gricourt
Marc Gricourt is a French politician who serves as the mayor of the city of Blois.
-
B.
Aimé Sauffroy
Aimé Sauffroy was a French architect known for overseeing the reconstruction of the historic Théâtre de la Porte Saint-Martin in Paris.
-
C.
Hervé de Luze
Hervé de Luze is a French film editor renowned for his long-standing collaborations with directors such as Roman Polanski and Alain Resnais.
-
D.
Louis Boisot
Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
-
E.
Maurice Courtelin
Maurice Courtelin is the charming Parisian tailor portrayed by Maurice Chevalier in the 1932 musical film "Love Me Tonight," known for his wit, romance, and catchy songs.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93edb59908190bcef9d0cdc11081f |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd466577508190b1926c475b7c49dc |
completed | May 8, 2026, 2:11 a.m. |
| NEDg | Description generation | batch_69fd4768edc881909a0c586b6d9568a3 |
completed | May 8, 2026, 2:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd47eb7db08190a68f60b255073d8d |
completed | May 8, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:53 p.m.