Triple
T30910255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Threads and Golden Needles |
E787426
|
entity |
| Predicate | lyricMessage |
P134835
|
FINISHED |
| Object | money cannot buy true love |
—
|
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: money cannot buy true love | Statement: [Silver Threads and Golden Needles, lyricMessage, money cannot buy true love]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricMessage Context triple: [Silver Threads and Golden Needles, lyricMessage, money cannot buy true love]
-
A.
lyricText
chosen
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
B.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
C.
lyricType
Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
-
D.
lyricFunction
Indicates the role or purpose that a set of lyrics serves within a musical work or performance.
-
E.
lyricStatus
Indicates the relationship between a musical work and the current state or condition of its lyrics (e.g., whether they are present, complete, verified, or otherwise annotated).
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:50 p.m.