Triple
T21247327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie-Thérèse de Willermawlaz |
E523645
|
entity |
| Predicate | socialMilieu |
P44645
|
FINISHED |
| Object | Parisian society |
—
|
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: Parisian society | Statement: [Marie-Thérèse de Willermawlaz, socialMilieu, Parisian society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialMilieu Context triple: [Marie-Thérèse de Willermawlaz, socialMilieu, Parisian society]
-
A.
socialSphere
chosen
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
-
B.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
C.
socialCenter
Indicates that a place functions as a primary gathering point or hub for social interaction and community activities.
-
D.
socialBackground
Indicates a relationship where one entity’s social origin, class, or upbringing context is associated with or characterizes another entity.
-
E.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359abdac81908b74dad1b8cc0aa9 |
completed | April 21, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69e5f61239708190ab7b3c83ae848a0d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:54 p.m.