Triple
T7066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Day of Infamy" speech |
E139
|
entity |
| Predicate | rhetoricalDevice |
P834
|
FINISHED |
| Object | appeal to patriotism |
—
|
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: appeal to patriotism | Statement: ["Day of Infamy" speech, rhetoricalDevice, appeal to patriotism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhetoricalDevice Context triple: ["Day of Infamy" speech, rhetoricalDevice, appeal to patriotism]
-
A.
symbolizes
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
B.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
C.
motto
Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
-
D.
mottoType
Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
-
E.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a241a55ac081909e95b71c97db8140 |
completed | Feb. 28, 2026, 1:15 a.m. |
| PD | Predicate disambiguation | batch_69a23fe1cf38819080ea56c40bf2632e |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a241a4a0f481908de66b64c6262fcd |
completed | Feb. 28, 2026, 1:15 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.