Triple
T5863503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love and Peace or Else |
E130330
|
entity |
| Predicate | hasGuitarFeature |
P56451
|
FINISHED |
| Object | The Edge atmospheric guitar textures |
—
|
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: The Edge atmospheric guitar textures | Statement: [Love and Peace or Else, hasGuitarFeature, The Edge atmospheric guitar textures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGuitarFeature Context triple: [Love and Peace or Else, hasGuitarFeature, The Edge atmospheric guitar textures]
-
A.
hasGuitarEffect
chosen
Indicates that one entity applies, uses, or is associated with a particular guitar effect in relation to another entity.
-
B.
hasMainGuitar
Indicates that one entity serves as the primary or principal guitar associated with another entity.
-
C.
hasGuitarStyle
Indicates that an entity is associated with, characterized by, or performs using a particular style of guitar playing.
-
D.
hasGuitarSolo
Indicates that an entity (such as a song or performance) contains or features a guitar solo.
-
E.
hasGuitarist
Indicates that an entity has, employs, or is associated with a guitarist as part of it.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.