Triple

T35938784
Position Surface form Disambiguated ID Type / Status
Subject Sarkodie’s grandmother Mary E1039376 entity
Predicate familialRelation P94755 FINISHED
Object grandmother of Sarkodie 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: grandmother of Sarkodie | Statement: [Sarkodie’s grandmother Mary, familialRelation, grandmother of Sarkodie]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: familialRelation
Context triple: [Sarkodie’s grandmother Mary, familialRelation, grandmother of Sarkodie]
  • A. politicalRelationship
    Indicates a relationship in which entities are connected through political roles, alliances, affiliations, or interactions within a political context.
  • B. relationshipToRelative chosen
    Indicates the specific familial connection or kinship role that one person has in relation to a particular relative.
  • C. familyRelationTheme
    Indicates that one entity is the thematic focus or topic within a family relationship involving another entity.
  • D. familyRelationshipStatus
    Indicates the type and state of a familial relationship that exists between two entities.
  • E. immediateFamilyMemberOf
    Indicates a close familial relationship where one person is a direct or closely related family member (such as parent, child, sibling, or spouse) of another.
  • 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_69f76e24bbd0819096b837d35371639a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcef654d588190b29ecc76678d1aa0 completed May 7, 2026, 8 p.m.
PD Predicate disambiguation batch_69fcecdb97f48190b382b7d13be92dc0 completed May 7, 2026, 7:49 p.m.
Created at: May 3, 2026, 4:07 p.m.