Triple
T1817242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baby, It’s Cold Outside |
E40461
|
entity |
| Predicate | radioAirplay |
P19932
|
FINISHED |
| Object | often played on Christmas radio formats |
—
|
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: often played on Christmas radio formats | Statement: [Baby, It’s Cold Outside, radioAirplay, often played on Christmas radio formats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: radioAirplay Context triple: [Baby, It’s Cold Outside, radioAirplay, often played on Christmas radio formats]
-
A.
hasRadioStation
Indicates that one entity possesses, operates, or is served by a particular radio station.
-
B.
supportsAirPlay
Indicates that one entity is capable of sending or receiving media via Apple’s AirPlay streaming protocol in relation to another entity.
-
C.
hasNotableAirplay
chosen
Indicates that something (typically a song, program, or audio content) has received a significant amount of broadcast play on radio or similar media.
-
D.
radioFormat
Indicates the specific type or style of radio programming or broadcast format associated with an entity.
-
E.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.