Triple
T28921248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boom Radio |
E733516
|
entity |
| Predicate | audienceNeedAddressed |
P94133
|
FINISHED |
| Object | music and presentation style familiar to baby boomers |
—
|
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: music and presentation style familiar to baby boomers | Statement: [Boom Radio, audienceNeedAddressed, music and presentation style familiar to baby boomers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audienceNeedAddressed Context triple: [Boom Radio, audienceNeedAddressed, music and presentation style familiar to baby boomers]
-
A.
relatesToAudience
Indicates a general relationship or relevance between something and a particular audience or group of recipients.
-
B.
audienceImpact
Indicates how an action, message, or event affects, influences, or resonates with its intended audience.
-
C.
audienceOrientation
chosen
Indicates how something is directed, tailored, or positioned with respect to a particular audience or group of recipients.
-
D.
audienceDescribedAs
Indicates that an audience is characterized or labeled using a particular description or set of attributes.
-
E.
roleInAddressing
Indicates the specific function or responsibility an entity has in dealing with or responding to a particular issue, situation, or task.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b1b09a08190934a1b04d6381028 |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:19 a.m.