Triple
T8903904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Lies |
E211999
|
entity |
| Predicate | featuresBlendOf |
P56866
|
FINISHED |
| Object | pop, R&B, and electronic influences |
—
|
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: pop, R&B, and electronic influences | Statement: [White Lies, featuresBlendOf, pop, R&B, and electronic influences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresBlendOf Context triple: [White Lies, featuresBlendOf, pop, R&B, and electronic influences]
-
A.
typicalBlendStyle
Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
-
B.
usedInBlends
chosen
Indicates that something serves as an ingredient or component within one or more mixtures, combinations, or blends.
-
C.
featuresCrossoverWith
Indicates that one entity includes or participates in a crossover event or collaboration with another entity.
-
D.
typicalBlendPartner
Indicates that two entities are commonly or characteristically combined or mixed together as standard or usual partners.
-
E.
featuresOrchestrationBy
Indicates that something (such as a work, event, or performance) is characterized by or includes orchestration carried out by a particular agent or 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c2509881908fb692522d348e96 |
completed | April 1, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.