Triple
T6166586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disappearing One |
E137575
|
entity |
| Predicate | hasSongwritingStyle |
P9652
|
FINISHED |
| Object | atmospheric |
—
|
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: atmospheric | Statement: [Disappearing One, hasSongwritingStyle, atmospheric]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSongwritingStyle Context triple: [Disappearing One, hasSongwritingStyle, atmospheric]
-
A.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
B.
hasLyricalStyle
chosen
Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity or context.
-
C.
hasWrittenSongsFor
Indicates that one entity has composed songs specifically intended to be performed, recorded, or used by another entity.
-
D.
hasPrimarySongwriter
Indicates that one entity serves as the main or principal songwriter responsible for creating the songs associated with another entity.
-
E.
hasMusicalStyleCharacteristic
Indicates that something possesses or exhibits a particular musical style as a defining 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d6366948190b35ef44dd9d6fcd6 |
completed | March 22, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c055f5b81481908819515cdc334ae6 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.