Triple
T10027502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All Your Favorite Bands |
E200766
|
entity |
| Predicate | influencedByStyle |
P20936
|
FINISHED |
| Object | Laurel Canyon sound |
—
|
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: Laurel Canyon sound | Statement: [All Your Favorite Bands, influencedByStyle, Laurel Canyon sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByStyle Context triple: [All Your Favorite Bands, influencedByStyle, Laurel Canyon sound]
-
A.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
B.
influencedByGenre
chosen
Indicates that something’s characteristics, style, or development are shaped or affected by a particular genre.
-
C.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
D.
relatedStyle
Indicates that one style is associated with, similar to, or derived from another style in some relevant way.
-
E.
designInfluenceOn
Indicates that one design, designer, or design-related factor has an effect on shaping, guiding, or altering another design or design outcome.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde3c1b88190924e6158f406b453 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:54 p.m.