Triple
T37473844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lowndes County Freedom Party |
E931223
|
entity |
| Predicate | symbolInfluenced |
P53164
|
FINISHED |
| Object | Black Panther Party logo |
—
|
NE NERFINISHED |
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: Black Panther Party logo | Statement: [Lowndes County Freedom Party, symbolInfluenced, Black Panther Party logo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolInfluenced Context triple: [Lowndes County Freedom Party, symbolInfluenced, Black Panther Party logo]
-
A.
influenceOf
Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
-
B.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
C.
symbolLinked
chosen
Indicates a relationship where one symbol is connected or associated with another symbol, typically to show reference, correspondence, or linkage between them.
-
D.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
-
E.
influentialAs
Indicates that one entity has at least as much influence or impact as another entity.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:17 p.m.