Triple
T27774618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smokin Out the Window |
E699149
|
entity |
| Predicate | musicalEraInfluence |
P38929
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Smokin Out the Window, musicalEraInfluence, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalEraInfluence Context triple: [Smokin Out the Window, musicalEraInfluence, 1970s]
-
A.
musicalEra
chosen
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
B.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
-
C.
usesMusicalInfluence
Indicates that one entity draws upon, incorporates, or is guided by the musical style, ideas, or legacy of another entity in its own musical creation or expression.
-
D.
influencedDecade
Indicates that one entity had a significant impact on shaping or affecting the events, trends, or characteristics of a specified decade.
-
E.
musicalTheatreEra
Indicates the historical period or stylistic era of musical theatre with which an entity is associated.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 5:04 p.m.