Triple
T34137299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 03' Adolescence |
E875601
|
entity |
| Predicate | lyricsRecount |
P144118
|
FINISHED |
| Object | formative teenage encounter with a drug-dealing friend |
—
|
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: formative teenage encounter with a drug-dealing friend | Statement: [03' Adolescence, lyricsRecount, formative teenage encounter with a drug-dealing friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsRecount Context triple: [03' Adolescence, lyricsRecount, formative teenage encounter with a drug-dealing friend]
-
A.
lyricsBy
Indicates that the lyrics of a song or musical work were written or authored by a specified person or entity.
-
B.
lyricExpresses
chosen
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
C.
lyricText
Indicates that one entity is the lyrical content or words of a song or musical piece associated with another entity.
-
D.
lyricReference
Indicates that one entity (typically a work or text) contains or makes a reference to the lyrics of another entity.
-
E.
lyricFunction
Indicates the role or purpose that a set of lyrics serves within a musical work or performance.
- 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_69f349aaeef08190a20e72a3fdeb7052 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:53 a.m.