Triple
T7064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Day of Infamy" speech |
E139
|
entity |
| Predicate | broadcastMedium |
P131
|
FINISHED |
| Object | radio |
—
|
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: radio | Statement: ["Day of Infamy" speech, broadcastMedium, radio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastMedium Context triple: ["Day of Infamy" speech, broadcastMedium, radio]
-
A.
medium
Indicates that an entity serves as the means, channel, or intermediary through which an action, communication, or effect is carried out between other entities.
-
B.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
C.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
D.
near
Indicates that one entity is located at a short distance from another entity in space or position.
-
E.
category
Indicates that one entity is classified as a member or type within the grouping or class defined by 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_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. |
Created at: Feb. 28, 2026, 12:54 a.m.