Triple
T12686134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polisse |
E303071
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Karin Viard
Karin Viard is an acclaimed French actress known for her versatile performances in both dramatic and comedic roles in contemporary French cinema.
|
E1027233
|
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: Karin Viard | Statement: [Polisse, starring, Karin Viard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karin Viard Context triple: [Polisse, starring, Karin Viard]
-
A.
Nathalie Cresson
Nathalie Cresson is the daughter of Édith Cresson, the former Prime Minister of France.
-
B.
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.
-
C.
Valérie Rojan
Valérie Rojan is known as the partner of French film director Philippe de Broca.
-
D.
Valérie Létard
Valérie Létard is a French centrist politician who has served in various governmental and parliamentary roles, notably in social and environmental policy.
-
E.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
- 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: Karin Viard Triple: [Polisse, starring, Karin Viard]
Generated description
Karin Viard is an acclaimed French actress known for her versatile performances in both dramatic and comedic roles in contemporary French cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karin Viard Target entity description: Karin Viard is an acclaimed French actress known for her versatile performances in both dramatic and comedic roles in contemporary French cinema.
-
A.
Nathalie Cresson
Nathalie Cresson is the daughter of Édith Cresson, the former Prime Minister of France.
-
B.
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.
-
C.
Valérie Rojan
Valérie Rojan is known as the partner of French film director Philippe de Broca.
-
D.
Valérie Létard
Valérie Létard is a French centrist politician who has served in various governmental and parliamentary roles, notably in social and environmental policy.
-
E.
Delphine Delaporte
Delphine Delaporte is known as the spouse of French business executive Thierry Delaporte, the CEO of Wipro.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b9e0c4819095194dc42677e17f |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f80b420c8190b5028be4fa99fb59 |
completed | May 3, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f89072a88190b3182f581b1b6762 |
completed | May 3, 2026, 7:26 a.m. |
Created at: April 9, 2026, 5:21 p.m.