Triple
T23056665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasmine French |
E574174
|
entity |
| Predicate | formerSocialCircle |
P30021
|
FINISHED |
| Object | New York high 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: New York high society | Statement: [Jasmine French, formerSocialCircle, New York high society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerSocialCircle Context triple: [Jasmine French, formerSocialCircle, New York high society]
-
A.
socialCircle
chosen
Indicates that one entity belongs to, or is part of, the group of people with whom another entity regularly interacts socially.
-
B.
socialSystem
Indicates a relationship where entities are organized into a structured set of social roles, norms, and interactions that govern their collective behavior.
-
C.
socialRelations
Indicates a relationship in which entities are connected through social ties, interactions, or roles within a social context.
-
D.
hasSocialTieWith
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
-
E.
relationshipNetwork
Indicates a connection between entities that are linked through a web of relationships, often capturing how they are associated or interact within a broader network.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1868099708190b23725dc8a305e09 |
completed | April 29, 2026, 4:18 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.