Triple
T3081074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cédric Villani |
E64256
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Cédric
Cédric is a French given name commonly used for males, notably borne by mathematician Cédric Villani.
|
E339966
|
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: Cédric | Statement: [Cédric Villani, givenName, Cédric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cédric Context triple: [Cédric Villani, givenName, Cédric]
-
A.
Cedric
Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
-
B.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
C.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
D.
Stéphane
Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
-
E.
Jérôme
Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
- 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: Cédric Triple: [Cédric Villani, givenName, Cédric]
Generated description
Cédric is a French given name commonly used for males, notably borne by mathematician Cédric Villani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cédric Target entity description: Cédric is a French given name commonly used for males, notably borne by mathematician Cédric Villani.
-
A.
Cedric
Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
-
B.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
C.
Benoît
Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
-
D.
Stéphane
Stéphane is a French masculine given name, equivalent to Stephen in English, commonly used in Francophone countries.
-
E.
Jérôme
Jérôme is a masculine given name of French origin, famously borne by Jérôme Bonaparte, the youngest brother of Napoleon I.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1aaf6d48190af4f9106965589b0 |
completed | March 8, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b276df42048190bcb79277a28f866a |
completed | March 12, 2026, 8:18 a.m. |
| NEDg | Description generation | batch_69b27ab4bcb081909a59f41449f7bde8 |
completed | March 12, 2026, 8:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b27b1ab6848190bebc7b02ce67071c |
completed | March 12, 2026, 8:36 a.m. |
Created at: March 8, 2026, 3:03 p.m.