Triple
T27920091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawton Chiles |
E706181
|
entity |
| Predicate | campaignSymbolism |
P129
|
FINISHED |
| Object | grassroots connection with voters |
—
|
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: grassroots connection with voters | Statement: [Lawton Chiles, campaignSymbolism, grassroots connection with voters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignSymbolism Context triple: [Lawton Chiles, campaignSymbolism, grassroots connection with voters]
-
A.
campaignSymbol
Indicates that something serves as a symbol or emblem representing a particular campaign.
-
B.
usesPoliticalSymbol
Indicates that an entity employs or displays a political symbol in its actions, communications, or representations.
-
C.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
D.
hasPoliticalColorSymbolism
Indicates that something is associated with a particular political meaning or affiliation through its use of color.
-
E.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 6:56 p.m.