Triple
T25557865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavender Blue (Dilly Dilly) |
E640623
|
entity |
| Predicate | lyricsMotif |
P86786
|
FINISHED |
| Object | lavender |
—
|
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: lavender | Statement: [Lavender Blue (Dilly Dilly), lyricsMotif, lavender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsMotif Context triple: [Lavender Blue (Dilly Dilly), lyricsMotif, lavender]
-
A.
lyricalMotive
chosen
Indicates a recurring musical or textual idea that serves as a unifying expressive element within a lyrical or vocal work.
-
B.
lyricKeyword
Indicates that a lyric is associated with, or can be characterized by, a particular keyword or key phrase.
-
C.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
D.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
E.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8cb186c819099b247e4a8cbd367 |
completed | May 2, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:44 p.m.