Triple
T26206903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo and Juliet |
E655379
|
entity |
| Predicate | hasDistinctiveRiff |
P172767
|
FINISHED |
| Object | resonator 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: resonator guitar riff | Statement: [Romeo and Juliet, hasDistinctiveRiff, resonator guitar riff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistinctiveRiff Context triple: [Romeo and Juliet, hasDistinctiveRiff, resonator guitar riff]
-
A.
hasInfluentialRiff
Indicates that one musical riff has had a significant impact on or has strongly influenced another piece, style, or musician.
-
B.
hasRiffs
Indicates that one entity features or contains musical riffs associated with another entity.
-
C.
hasNotableGuitarRiffBy
Indicates that something (typically a song or musical piece) is characterized by a notable guitar riff performed or created by a specified guitarist.
-
D.
hasMainRiff
Indicates that one musical piece, section, or track features another musical phrase or pattern as its primary recurring riff.
-
E.
hasPianoRiff
Indicates that one entity features or contains a distinctive piano riff associated with 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 26, 2026, 8:51 p.m.