Triple
T28958296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everyday Is Christmas |
E731823
|
entity |
| Predicate | featuresOriginalSongs |
P73613
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Everyday Is Christmas, featuresOriginalSongs, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresOriginalSongs Context triple: [Everyday Is Christmas, featuresOriginalSongs, true]
-
A.
originalSong
Indicates that one entity is the source or initial version of a song from which another entity (such as a cover, remix, or adaptation) is derived.
-
B.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
C.
featuresReRecordedSong
Indicates that an entity (such as an album, release, or performance) includes a song that has been recorded again in a new version distinct from its original recording.
-
D.
containsOriginalSongs
chosen
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
E.
includesOriginalSongsBy
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: April 28, 2026, 8:49 a.m.