Triple
T32832940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relata I |
E839743
|
entity |
| Predicate | hasMusicalLanguageCharacteristic |
P7162
|
FINISHED |
| Object | complex rhythmic structures |
—
|
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: complex rhythmic structures | Statement: [Relata I, hasMusicalLanguageCharacteristic, complex rhythmic structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicalLanguageCharacteristic Context triple: [Relata I, hasMusicalLanguageCharacteristic, complex rhythmic structures]
-
A.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
B.
hasLyricalLanguage
Indicates that something (such as a text or expression) employs poetic, expressive, or highly figurative language.
-
C.
hasMusicalArtistCharacteristic
Indicates that a musical artist possesses a particular characteristic, quality, or attribute.
-
D.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
E.
hasLinguisticFeature
chosen
Indicates that an entity possesses a particular linguistic property, trait, or characteristic.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 1, 2026, 1:16 a.m.