Triple
T29281668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dying Breed |
E742396
|
entity |
| Predicate | lyricsInfluence |
P166792
|
FINISHED |
| Object | Bruce Springsteen |
—
|
NE NERFINISHED |
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: Bruce Springsteen | Statement: [Dying Breed, lyricsInfluence, Bruce Springsteen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsInfluence Context triple: [Dying Breed, lyricsInfluence, Bruce Springsteen]
-
A.
effectOfSong
Indicates the influence or impact that a particular song has on something, such as a listener, mood, or situation.
-
B.
vocalInfluence
Indicates that one entity affects, shapes, or modifies another entity through vocal expression, such as speech, tone, or sound.
-
C.
lyricalPerspective
Indicates the narrative or point of view from which lyrics are expressed in a song or vocal piece.
-
D.
influencedMusicVideo
Indicates that one entity had a creative or conceptual impact on the style, content, or production of another entity’s music video.
-
E.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
- 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6651665c48190a8c10e99b558c845 |
completed | May 2, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 12:55 p.m.