Triple
T30497867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony |
E776053
|
entity |
| Predicate | relationshipToRiff |
P204024
|
FINISHED |
| Object | best 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: best friend | Statement: [Tony, relationshipToRiff, best friend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToRiff Context triple: [Tony, relationshipToRiff, best friend]
-
A.
hasInfluentialRiff
Indicates that one musical riff has had a significant impact on or has strongly influenced another piece, style, or musician.
-
B.
relatesToInstrument
Indicates a relationship where one entity is associated with, involves, or makes use of a particular instrument or tool.
-
C.
musicTheoryRelation
Indicates a conceptual or structural relationship between musical elements, such as notes, chords, scales, or harmonic functions, within the framework of music theory.
-
D.
relationToJazz
Indicates a relationship that specifies how something is connected or related to jazz (e.g., by style, influence, genre, or context).
-
E.
featuresRiff
Indicates that something includes or prominently showcases a specific musical riff.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a030e31e01881909c6032532cd3c31a |
completed | May 12, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_6a030dadea008190abe0a5652784bdd6 |
completed | May 12, 2026, 11:23 a.m. |
| PDg | Predicate description generation | batch_6a030e30ec5881908b59d8e85b7feaa5 |
completed | May 12, 2026, 11:25 a.m. |
Created at: April 29, 2026, 8:14 p.m.