Triple
T28768363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue (LeAnn Rimes song) |
E726338
|
entity |
| Predicate | decadeOfCulturalImpact |
P85372
|
FINISHED |
| Object | 1990s |
—
|
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 | Statement: [Blue (LeAnn Rimes song), decadeOfCulturalImpact, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decadeOfCulturalImpact Context triple: [Blue (LeAnn Rimes song), decadeOfCulturalImpact, 1990s]
-
A.
associatedDecadeInPopCulture
chosen
Indicates the decade in popular culture with which an entity is most closely linked or commonly recognized.
-
B.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
C.
influencedDecade
Indicates that one entity had a significant impact on shaping or affecting the events, trends, or characteristics of a specified decade.
-
D.
madeFamousInDecade
Indicates that something became widely known or gained significant public recognition during a specified decade.
-
E.
centuryOfGreatestInfluence
Indicates the century during which an entity exerted its greatest impact or influence.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 6:14 a.m.