Triple
T29345124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enchant |
E744146
|
entity |
| Predicate | typicalSongCharacteristics |
P9125
|
FINISHED |
| Object | long compositions |
—
|
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: long compositions | Statement: [Enchant, typicalSongCharacteristics, long compositions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalSongCharacteristics Context triple: [Enchant, typicalSongCharacteristics, long compositions]
-
A.
notableSongCharacteristic
chosen
Indicates that a song is distinguished by a particular notable feature or quality, such as style, structure, or performance trait.
-
B.
lyricCharacterization
Indicates how the lyrics portray, describe, or characterize a subject within a song or musical work.
-
C.
featuresReRecordedSong
Indicates that an entity (such as an album, release, or performance) includes a song that has been recorded again in a new version distinct from its original recording.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
featuresSongAbout
Indicates that one entity includes or presents a song whose subject or content is about another entity.
- 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_69f0a79a2d748190bc30abd469298b37 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a01a48fbbd481908ccf75551dcf4647 |
completed | May 11, 2026, 9:42 a.m. |
| PD | Predicate disambiguation | batch_6a01a2d6db208190b11c1af601a544f5 |
completed | May 11, 2026, 9:35 a.m. |
Created at: April 28, 2026, 2:01 p.m.