Triple

T35496492
Position Surface form Disambiguated ID Type / Status
Subject Real Love E1025879 entity
Predicate hasEraSignificance P183357 FINISHED
Object helped define Mary J. Blige’s early career 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: helped define Mary J. Blige’s early career sound | Statement: [Real Love, hasEraSignificance, helped define Mary J. Blige’s early career sound]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEraSignificance
Context triple: [Real Love, hasEraSignificance, helped define Mary J. Blige’s early career sound]
  • A. hasEraInfluence
    Indicates that one era or time period has a significant impact on shaping the characteristics, developments, or outcomes of another.
  • B. subjectHasEra
    Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
  • C. associatedWithNotableEra
    Indicates that something has a significant connection or relevance to a historically or culturally notable period of time.
  • D. historicalPeriodOfSignificance
    Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
  • E. hasPrimaryEra
    Indicates that an entity is chiefly associated with or belongs to a particular historical or temporal era.
  • F. None of above. chosen

Provenance (4 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_69f76dfc9c60819089c4217d93922615 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79da9f80c8190b0afd8509f28747b completed May 3, 2026, 7:10 p.m.
PD Predicate disambiguation batch_69f79617d40481909ba372f94209c08b completed May 3, 2026, 6:38 p.m.
PDg Predicate description generation batch_69f79da8d8848190ab5ab1bdad95d58c completed May 3, 2026, 7:10 p.m.
Created at: May 3, 2026, 4:04 p.m.