Triple
T4968917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckets of Rain |
E111595
|
entity |
| Predicate | lyricalCharacteristic |
P9652
|
FINISHED |
| Object | economical lyrics |
—
|
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: economical lyrics | Statement: [Buckets of Rain, lyricalCharacteristic, economical lyrics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricalCharacteristic Context triple: [Buckets of Rain, lyricalCharacteristic, economical lyrics]
-
A.
hasLyricalStyle
chosen
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
B.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
C.
lyricalPhrase
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.
-
D.
lyricalCharacter
Indicates that one entity is the character or persona expressed or portrayed in the lyrics of the other entity (such as a song or poem).
-
E.
notableSongCharacteristic
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.