Triple
T25158110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There Will Be No Intermission |
E626368
|
entity |
| Predicate | hasInterlude |
P46147
|
FINISHED |
| Object | instrumental interludes |
—
|
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: instrumental interludes | Statement: [There Will Be No Intermission, hasInterlude, instrumental interludes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterlude Context triple: [There Will Be No Intermission, hasInterlude, instrumental interludes]
-
A.
containsInterludes
chosen
Indicates that one entity (typically a work or composition) includes one or more interludes within its structure.
-
B.
isInterludeOnAlbum
Indicates that a track functions as an interlude within the context of a specific album.
-
C.
hasSeaInterludesNumber
Indicates the specific numbered position of a sea interlude associated with an entity.
-
D.
hasPianoIntroBy
Indicates that something (typically a musical work) features an introductory section played on piano that is performed or created by a specified agent.
-
E.
hasImprovisation
Indicates that an entity includes, involves, or is characterized by improvisational elements or unscripted creative actions in relation to another entity or context.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 18, 2026, 6:30 a.m.