Triple
T23610760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Straight Up |
E583029
|
entity |
| Predicate | influencedByEra |
P132209
|
FINISHED |
| Object | 1980s dance-pop sound |
—
|
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: 1980s dance-pop sound | Statement: [Straight Up, influencedByEra, 1980s dance-pop sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByEra Context triple: [Straight Up, influencedByEra, 1980s dance-pop sound]
-
A.
hasEraInfluence
chosen
Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
-
B.
livedInEra
Indicates that an entity existed or was active during a particular historical era or time period.
-
C.
influencedDecade
Indicates that one entity had a significant impact on shaping or affecting the events, trends, or characteristics of a specified decade.
-
D.
associatedWithNotableEra
Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
-
E.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f4606881908207114c5bcfe6a6 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:44 p.m.