Triple
T5318951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Thousand Miles from Nowhere |
E121622
|
entity |
| Predicate | hasRhythmStyle |
P45796
|
FINISHED |
| Object | mid-tempo country ballad |
—
|
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: mid-tempo country ballad | Statement: [A Thousand Miles from Nowhere, hasRhythmStyle, mid-tempo country ballad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRhythmStyle Context triple: [A Thousand Miles from Nowhere, hasRhythmStyle, mid-tempo country ballad]
-
A.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
B.
hasOffbeatStyle
Indicates that an entity exhibits an unconventional, quirky, or nontraditional style or manner.
-
C.
hasMusicalStyleCharacteristic
chosen
Indicates that something possesses or exhibits a particular musical style as a defining characteristic.
-
D.
hasSongStyle
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
-
E.
hasRhymeStyle
Indicates that two linguistic elements share the same pattern or style of rhyming.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.