Triple
T8139649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izard family |
E190058
|
entity |
| Predicate | socialInfluenceIn |
P44645
|
FINISHED |
| Object | Charleston 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: Charleston society | Statement: [Izard family, socialInfluenceIn, Charleston society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialInfluenceIn Context triple: [Izard family, socialInfluenceIn, Charleston society]
-
A.
mediaInfluence
Indicates that one entity affects, shapes, or alters another entity’s attitudes, behaviors, or perceptions through media content or channels.
-
B.
socialSphere
chosen
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
-
C.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
-
D.
socialStance
Indicates the attitude, position, or orientation one entity holds toward another in a social context.
-
E.
influentialFrom
Indicates that one entity has exerted influence on another, contributing to or shaping the latter’s ideas, behavior, or development.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4404e5308190a323485701f09d86 |
completed | March 31, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.