Triple
T7830767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Million Love Songs |
E181359
|
entity |
| Predicate | isRomanticSong |
P19931
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [A Million Love Songs, isRomanticSong, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRomanticSong Context triple: [A Million Love Songs, isRomanticSong, true]
-
A.
isLoveSong
chosen
Indicates that a song’s primary theme or content centers on romantic love or affectionate emotional relationships.
-
B.
isPopularSongFrom
Indicates that a song is widely liked, well-known, or frequently played and originates from a particular source, such as an artist, album, or media work.
-
C.
isInspirationalSong
Indicates that a song motivates, uplifts, or positively influences listeners through its message, emotion, or impact.
-
D.
isHolidaySong
Indicates that a song is associated with, themed around, or traditionally performed during a holiday or festive season.
-
E.
isChristmasSong
Indicates that a song is recognized as a Christmas-themed song, typically associated with the Christmas holiday season.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04ac013c81909533fa348776f50c |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:44 p.m.