Triple
T1587614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Quinn Sullivan |
E34100
|
entity |
| Predicate | socialCircle |
P30021
|
FINISHED |
| Object | New York art world |
—
|
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 art world | Statement: [Mary Quinn Sullivan, socialCircle, New York art world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialCircle Context triple: [Mary Quinn Sullivan, socialCircle, New York art world]
-
A.
socialSystem
Indicates a relationship where entities are organized into a structured set of social roles, norms, and interactions that govern their collective behavior.
-
B.
socialGroupInvolved
Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
-
C.
socialComposition
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
D.
socialFeature
Indicates that one entity provides or participates in a social interaction capability or function involving other entities.
-
E.
socialBase
Indicates a foundational social relationship or structure that underlies or supports interactions between entities.
- F. None of above. chosen
Provenance (4 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93aec7dc481909375726fbfb9e272 |
completed | March 5, 2026, 8:12 a.m. |
Created at: March 4, 2026, 7:27 p.m.