Triple
T20620194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Song One |
E506678
|
entity |
| Predicate | featuresIndieMusicScene |
P140805
|
FINISHED |
| Object | New York City indie music scene |
—
|
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: New York City indie music scene | Statement: [Song One, featuresIndieMusicScene, New York City indie music scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresIndieMusicScene Context triple: [Song One, featuresIndieMusicScene, New York City indie music scene]
-
A.
featuresDJ
Indicates that an entity includes or presents a DJ as part of its offering or composition.
-
B.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
C.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
D.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
E.
featuresPrimaryInstrument
Indicates that an entity is associated with the main or most prominent instrument used or highlighted in another entity (such as a work, performance, or recording).
- F. None of above. chosen
Provenance (4 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe0e22c81909f6efe21518e33f0 |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:41 a.m.