Triple
T524273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empire State of Mind (Part II) Broken Down |
E10883
|
entity |
| Predicate | subgenre |
P15287
|
FINISHED |
| Object | piano 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: piano ballad | Statement: [Empire State of Mind (Part II) Broken Down, subgenre, piano ballad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subgenre Context triple: [Empire State of Mind (Part II) Broken Down, subgenre, piano ballad]
-
A.
genre
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
B.
subfamily
Indicates that one taxonomic group is a subfamily within a larger family, representing an intermediate rank in biological classification.
-
C.
subtitle
Indicates that one work serves as a secondary or explanatory title to another, typically appearing beneath the main title.
-
D.
suborder
Indicates that one entity is a more specific, subordinate ordering or arrangement within the broader ordering defined by another entity.
-
E.
subtitleDFunction
Indicates a functional relationship where one entity serves as the subtitle or secondary textual label for another entity.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0f73af88190bc8f00c2047cc8b8 |
completed | Feb. 28, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.