Triple
T5957694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Dujardin |
E132556
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Brice de Nice |
E558611
|
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: Brice de Nice | Statement: [Jean Dujardin, characterPortrayed, Brice de Nice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brice de Nice Context triple: [Jean Dujardin, characterPortrayed, Brice de Nice]
-
A.
Brice de Nice
chosen
Brice de Nice is a French comedy film character, a dim-witted, surf-obsessed poser from Nice made famous by actor Jean Dujardin.
-
B.
Luc Teyssier
Luc Teyssier is a charming, roguish French thief who becomes the romantic lead opposite Meg Ryan’s character in the 1995 romantic comedy film "French Kiss."
-
C.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
D.
Val Montjoie
Val Montjoie is a scenic alpine valley in the French Alps, known for its traditional villages, mountain landscapes, and access to the Mont Blanc massif.
-
E.
Thierry Noir
Thierry Noir is a French artist renowned for being one of the first to paint large, colorful murals on the Berlin Wall, helping transform it into a symbol of artistic and political expression.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c34ca881909a219eddf99348ab |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1082d00308190a8e92bb633e7f292 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:02 p.m.