Triple
T3697089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson, Mississippi |
E78484
|
entity |
| Predicate | usedToExploreTheme |
P1857
|
FINISHED |
| Object | Southern life |
—
|
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: Southern life | Statement: [Jefferson, Mississippi, usedToExploreTheme, Southern life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToExploreTheme Context triple: [Jefferson, Mississippi, usedToExploreTheme, Southern life]
-
A.
exploredDuring
Indicates that an entity was explored or investigated within the time frame or context of a specified event or period.
-
B.
exploredWith
Indicates that one entity explored something together with another entity as companions or partners in the exploration.
-
C.
explored
Indicates that an entity has traveled through, examined, or investigated another entity or area, typically to discover or learn more about it.
-
D.
hasPersonalThemes
Indicates that something (such as a work, message, or expression) involves themes that are personal, intimate, or directly related to an individual’s own experiences or inner life.
-
E.
explores
chosen
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc5115ad8819085ffa938de3943f4 |
completed | March 8, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69adb84dc5808190850aa6975cb09e27 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.