Triple
T24282161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reagan-Bush campaign |
E605571
|
entity |
| Predicate | notableAd |
P125237
|
FINISHED |
| Object | Morning in America |
—
|
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: Morning in America | Statement: [Reagan-Bush campaign, notableAd, Morning in America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAd Context triple: [Reagan-Bush campaign, notableAd, Morning in America]
-
A.
notableAdaptor
Indicates that one entity is a well-known or distinguished adapter of another entity’s work, style, or content.
-
B.
notablePromotion
Indicates that an entity has received a significant or distinguished promotion in status, rank, or position.
-
C.
adType
chosen
Indicates the classification or category of an advertisement associated with an entity or event.
-
D.
notableBroadcast
Indicates that an entity is recognized for having made a significant or widely known broadcast.
-
E.
notableDemo
Indicates that an entity is particularly well known or recognized for a specific demonstration, example, or showcase.
- 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_69e295480d0c8190846fc3c2e2da1d4c |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28f52e57c8190ab73e4b2b6a9eafd |
completed | April 29, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:08 a.m.