Triple
T14806702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cours Florent |
E348055
|
entity |
| Predicate | notableAlumni |
P51
|
FINISHED |
| Object | Daniel Auteuil |
E126066
|
NE FINISHED |
How this triple was built (2 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: Daniel Auteuil | Statement: [Cours Florent, notableAlumni, Daniel Auteuil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Auteuil Context triple: [Cours Florent, notableAlumni, Daniel Auteuil]
-
A.
Daniel Auteuil
chosen
Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
-
B.
James Thierrée
James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
-
C.
Éric Pascal
Éric Pascal is a person notable enough to be recognized as a significant bearer of the surname Pascal.
-
D.
Guillaume Canet
Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
-
E.
Nicolas Duvauchelle
Nicolas Duvauchelle is a French actor known for his intense performances in film and television, often in gritty crime dramas and character-driven roles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c8bc6881908736c029943997ae |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:40 a.m.