Triple
T13313464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French cinema |
E317130
|
entity |
| Predicate | criticalConcept |
P26305
|
FINISHED |
| Object | politique des auteurs |
—
|
LITERAL 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: politique des auteurs | Statement: [French cinema, criticalConcept, politique des auteurs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalConcept Context triple: [French cinema, criticalConcept, politique des auteurs]
-
A.
hasCriticalConcept
chosen
Indicates that one entity includes, depends on, or is defined by a key concept that is essential to understanding or functioning of another entity.
-
B.
criticality
Indicates the degree of importance, urgency, or potential impact associated with an entity, condition, or situation within a given context.
-
C.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
D.
coreIdea
Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
-
E.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
- F. None of above.
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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:29 p.m.