Triple
T4868576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Girl |
E109030
|
entity |
| Predicate | hasNotableRiff |
P26017
|
FINISHED |
| Object | Rickenbacker-style chiming guitar riff |
—
|
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: Rickenbacker-style chiming guitar riff | Statement: [American Girl, hasNotableRiff, Rickenbacker-style chiming guitar riff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableRiff Context triple: [American Girl, hasNotableRiff, Rickenbacker-style chiming guitar riff]
-
A.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
B.
hasImprovisedSoloBy
Indicates that an improvised solo performance is attributed to or performed by a specific entity.
-
C.
hasNotableInstrumentNamedAfter
Indicates that an entity has a notable musical instrument that is named after it.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasGuitarStyle
chosen
Indicates that an entity is associated with, characterized by, or performs using a particular style of guitar playing.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7d809081909fc7c80c56f72840 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:27 p.m.