Triple
T20194727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bust Your Knee Caps (Johnny Don’t Leave Me) |
E493051
|
entity |
| Predicate | lyricImagery |
P139160
|
FINISHED |
| Object | threats of knee‑capping |
—
|
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: threats of knee‑capping | Statement: [Bust Your Knee Caps (Johnny Don’t Leave Me), lyricImagery, threats of knee‑capping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricImagery Context triple: [Bust Your Knee Caps (Johnny Don’t Leave Me), lyricImagery, threats of knee‑capping]
-
A.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
B.
lyricFunction
Indicates the role or purpose that a set of lyrics serves within a musical work or performance.
-
C.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
D.
lyricalMotive
Indicates a recurring musical or textual idea that serves as a unifying expressive element within a lyrical or vocal work.
-
E.
lyricType
Indicates the specific category or role that a lyric plays within a musical or lyrical work (e.g., verse, chorus, bridge).
- F. None of above. chosen
Provenance (4 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7ed548190a893110fa2ffb144 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b14c9d8819095453d0504d9222f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.