Triple
T32089217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Séverine Serizy |
E819539
|
entity |
| Predicate | worksAsProstitute |
P32113
|
FINISHED |
| Object | during daytime |
—
|
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: during daytime | Statement: [Séverine Serizy, worksAsProstitute, during daytime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksAsProstitute Context triple: [Séverine Serizy, worksAsProstitute, during daytime]
-
A.
legalStatusOfProstitution
Indicates the legal status or regulatory condition under which prostitution is permitted, restricted, or prohibited in a given jurisdiction.
-
B.
exploitedFor
Indicates that one entity is unfairly or abusively used by another entity as a resource, means, or advantage for the latter’s benefit.
-
C.
hiresAsEscort
Indicates that one entity employs another specifically to provide escort or companionship services.
-
D.
worksAs
chosen
Indicates that an entity performs the role, job, or occupation specified by another entity.
-
E.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 1, 2026, 12:25 a.m.