Triple
T35276155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come and See Me |
E1018808
|
entity |
| Predicate | typicalPlaylistContext |
P206900
|
FINISHED |
| Object | late-night playlists |
—
|
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: late-night playlists | Statement: [Come and See Me, typicalPlaylistContext, late-night playlists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPlaylistContext Context triple: [Come and See Me, typicalPlaylistContext, late-night playlists]
-
A.
playGenreContext
Indicates that an entity engages with or experiences a particular genre (e.g., of media or activity) within a specific contextual setting or situation.
-
B.
oftenTunesTo
Indicates that one entity frequently adjusts or sets its frequency, settings, or focus to match or receive another entity.
-
C.
albumContext
Indicates that something occurs, is relevant, or should be interpreted specifically within the context of a particular album.
-
D.
musicAlbumTypeContext
Indicates the contextual relationship specifying the type or category of a music album (e.g., studio, live, compilation) within a given classification or usage setting.
-
E.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.