Triple
T12192331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Caroline Bury |
E290494
|
entity |
| Predicate | hasSocialCircle |
P30021
|
FINISHED |
| Object | bohemian social circle |
—
|
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: bohemian social circle | Statement: [Lady Caroline Bury, hasSocialCircle, bohemian social circle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialCircle Context triple: [Lady Caroline Bury, hasSocialCircle, bohemian social circle]
-
A.
hasSocialGroup
Indicates that an entity belongs to, is associated with, or participates in a particular social group or community.
-
B.
socialCircle
chosen
Indicates that one entity belongs to, or is part of, the group of people with whom another entity regularly interacts socially.
-
C.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
-
D.
hasSocialEngagement
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
-
E.
sociallyIntegratedWith
Indicates that two entities are connected through meaningful social relationships, interactions, or participation within the same social context or community.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:50 p.m.