Triple
T6960546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Léa Seydoux |
E161355
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Jérôme Seydoux
Jérôme Seydoux is a French businessman and film industry executive, best known as the co-chairman of the cinema chain and production company Pathé.
|
E631128
|
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: Jérôme Seydoux | Statement: [Léa Seydoux, relative, Jérôme Seydoux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jérôme Seydoux Context triple: [Léa Seydoux, relative, Jérôme Seydoux]
-
A.
Xavier Beauvois
Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
-
B.
Gaspard Ulliel
Gaspard Ulliel was a French actor best known internationally for playing the young Hannibal Lecter in "Hannibal Rising" and for acclaimed roles in French cinema and fashion campaigns.
-
C.
Éric Pascal
Éric Pascal is a person notable enough to be recognized as a significant bearer of the surname Pascal.
-
D.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
-
E.
Guillaume Canet
Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
- 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: Jérôme Seydoux Triple: [Léa Seydoux, relative, Jérôme Seydoux]
Generated description
Jérôme Seydoux is a French businessman and film industry executive, best known as the co-chairman of the cinema chain and production company Pathé.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jérôme Seydoux Target entity description: Jérôme Seydoux is a French businessman and film industry executive, best known as the co-chairman of the cinema chain and production company Pathé.
-
A.
Xavier Beauvois
Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
-
B.
Gaspard Ulliel
Gaspard Ulliel was a French actor best known internationally for playing the young Hannibal Lecter in "Hannibal Rising" and for acclaimed roles in French cinema and fashion campaigns.
-
C.
Éric Pascal
Éric Pascal is a person notable enough to be recognized as a significant bearer of the surname Pascal.
-
D.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
-
E.
Guillaume Canet
Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daeee4d48190b078beeebb0053f4 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7589892888190bf240bdbf107efcc |
completed | March 28, 2026, 4:27 a.m. |
| NEDg | Description generation | batch_69c7596571a48190a8a04b9b24b5e4cb |
completed | March 28, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75a57dc308190a691d3ae55cc39ef |
completed | March 28, 2026, 4:34 a.m. |
Created at: March 27, 2026, 2:29 p.m.