Triple
T7298266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonderful Tonight |
E167777
|
entity |
| Predicate | isFrequentlyPlayedOn |
P46711
|
FINISHED |
| Object | adult contemporary 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: adult contemporary radio | Statement: [Wonderful Tonight, isFrequentlyPlayedOn, adult contemporary radio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentlyPlayedOn Context triple: [Wonderful Tonight, isFrequentlyPlayedOn, adult contemporary radio]
-
A.
isFrequentlyBroadcastDuring
Indicates that one entity (such as a program, advertisement, or message) is regularly aired or transmitted during another entity (such as a specific time slot, event, or show).
-
B.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
C.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
-
D.
isFrequentlyIncludedIn
chosen
Indicates that something is regularly or commonly contained or made part of something else.
-
E.
numberOfPlays
Indicates the total count of times an item, such as a track or media asset, has been played.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8f83c881909e8eae85410f9659 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.