Triple
T9198472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There Goes My Miracle |
E220774
|
entity |
| Predicate | hasCoverArtStyle |
P24958
|
FINISHED |
| Object | Western Americana aesthetic |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: Western Americana aesthetic | Statement: [There Goes My Miracle, hasCoverArtStyle, Western Americana aesthetic]
Provenance (2 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
Created at: March 30, 2026, 7:25 p.m.