Triple
T29676474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merry Christmas Darling |
E750831
|
entity |
| Predicate | recurringAirplay |
P19932
|
FINISHED |
| Object | Christmas season |
—
|
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: Christmas season | Statement: [Merry Christmas Darling, recurringAirplay, Christmas season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recurringAirplay Context triple: [Merry Christmas Darling, recurringAirplay, Christmas season]
-
A.
supportsAirPlay
Indicates that one entity is capable of sending or receiving media via Apple’s AirPlay streaming protocol in relation to another entity.
-
B.
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.
-
C.
supportsRemotePlay
Indicates that one entity enables or is compatible with remote play functionality for another entity.
-
D.
continuousPlay
Indicates that an activity or process proceeds without interruption or breaks over a period of time.
-
E.
AppleTV4KSecondGenerationReleaseDate
Indicates the date on which the second generation of Apple TV 4K was officially released.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6725dadb081909ef2fbba8d3fd935 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:07 p.m.