Triple
T14330041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Award for Best Supporting Actress |
E355320
|
entity |
| Predicate | hasNotableRecipient |
P108
|
FINISHED |
| Object | Karin Viard |
E1027233
|
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: Karin Viard | Statement: [César Award for Best Supporting Actress, hasNotableRecipient, Karin Viard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karin Viard Context triple: [César Award for Best Supporting Actress, hasNotableRecipient, Karin Viard]
-
A.
Karin Viard
chosen
Karin Viard is an acclaimed French actress known for her versatile performances in both dramatic and comedic roles in contemporary French cinema.
-
B.
Nathalie Cresson
Nathalie Cresson is the daughter of Édith Cresson, the former Prime Minister of France.
-
C.
Françoise Castro
Françoise Castro is a French journalist and writer best known as the wife of prominent Socialist politician and former Prime Minister Laurent Fabius.
-
D.
Valérie Rojan
Valérie Rojan is known as the partner of French film director Philippe de Broca.
-
E.
Valérie Létard
Valérie Létard is a French centrist politician who has served in various governmental and parliamentary roles, notably in social and environmental policy.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967e9c208190a00a82122b8c884c |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:13 a.m.