Triple
T30336068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Low Millions |
E771623
|
entity |
| Predicate | hasNotableSongTheme |
P4921
|
FINISHED |
| Object | relationship-themed songs |
—
|
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: relationship-themed songs | Statement: [Low Millions, hasNotableSongTheme, relationship-themed songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSongTheme Context triple: [Low Millions, hasNotableSongTheme, relationship-themed songs]
-
A.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
B.
hasNotableSongType
Indicates that an entity is associated with a specific type or category of notable song.
-
C.
hasNotableSongNumber
Indicates that an entity is associated with a specific song identified by its notable number or index within a collection or sequence.
-
D.
hasNotableWorkTheme
Indicates that there is a notable work whose central theme or subject matter is characterized by the related concept.
-
E.
hasLyricalTheme
chosen
Indicates that one entity (typically a creative work) features or is characterized by a particular lyrical subject, topic, or theme.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00315632a8819092290f455babd7ee |
completed | May 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_6a002f54a0dc81909b0e54c5e110e67c |
completed | May 10, 2026, 7:10 a.m. |
Created at: April 29, 2026, 7:54 p.m.