Triple
T31085080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count Your Blessings Instead of Sheep |
E792208
|
entity |
| Predicate | lyricalAdvice |
P41008
|
FINISHED |
| Object | count your blessings instead of sheep |
—
|
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: count your blessings instead of sheep | Statement: [Count Your Blessings Instead of Sheep, lyricalAdvice, count your blessings instead of sheep]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricalAdvice Context triple: [Count Your Blessings Instead of Sheep, lyricalAdvice, count your blessings instead of sheep]
-
A.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
B.
lyricalMotive
Indicates a recurring musical or textual idea that serves as a unifying expressive element within a lyrical or vocal work.
-
C.
lyricalLanguage
Indicates that something is expressed using poetic, figurative, or highly expressive language.
-
D.
lyricalPhrase
chosen
Indicates that one entity is a lyrical phrase or line that is part of, derived from, or associated with another entity such as a song, poem, or musical work.
-
E.
lyricalFunction
Indicates the role or purpose that lyrics serve within a musical or poetic work, such as narrating, expressing emotion, or structuring the piece.
- 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f697eabb048190bc01a830f14942c6 |
completed | May 3, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:02 p.m.