Triple
T18678055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroque pop |
E456652
|
entity |
| Predicate | usesSongwritingApproach |
P98634
|
FINISHED |
| Object | rock-based songwriting with classical arrangements |
—
|
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: rock-based songwriting with classical arrangements | Statement: [Baroque pop, usesSongwritingApproach, rock-based songwriting with classical arrangements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSongwritingApproach Context triple: [Baroque pop, usesSongwritingApproach, rock-based songwriting with classical arrangements]
-
A.
songwritingApproach
chosen
Indicates the method or style an entity uses when creating or composing songs.
-
B.
songwriterStyle
Indicates that one entity creates songs in the characteristic manner, genre, or stylistic approach associated with another entity.
-
C.
showcasesSongwriting
Indicates that something highlights or demonstrates the quality, style, or skill of a particular songwriting effort.
-
D.
hasSongwriterPerspective
Indicates that the work is presented from the point of view or narrative stance of the songwriter.
-
E.
coSongwriter
Indicates that two or more entities collaborated in writing the same song.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b26cb408190a4e209c0d4ff31ba |
completed | April 19, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.