Triple
T7942839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | (What's the Story) Morning Glory? |
E184430
|
entity |
| Predicate | mainGenreMovement |
P74877
|
FINISHED |
| Object | 1990s Britpop |
—
|
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: 1990s Britpop | Statement: [(What's the Story) Morning Glory?, mainGenreMovement, 1990s Britpop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainGenreMovement Context triple: [(What's the Story) Morning Glory?, mainGenreMovement, 1990s Britpop]
-
A.
musicalMovement
chosen
Indicates a relationship where one entity is a musical movement or stylistic period associated with, influencing, or characterizing another entity.
-
B.
hasMainGenre
Indicates that an entity’s primary or most characteristic genre is the specified genre.
-
C.
hasGenreInfluenceOn
Indicates that one genre has a notable impact on shaping or influencing the characteristics, style, or development of another genre.
-
D.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
historicallyImportantGenre
Indicates that the subject genre has played a significant and influential role in history or cultural development.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0d31548190af54a2f3bbb8cad3 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.